Pandas Profiling Report

Dataset statistics

Number of variables	38
Number of observations	5417
Missing cells	11602
Missing cells (%)	5.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.6 MiB
Average record size in memory	304.0 B

Variable types

Categorical	31
Numeric	7

Alerts

`ocorrencia_cidade` has a high cardinality: 1068 distinct values	High cardinality
`ocorrencia_aerodromo` has a high cardinality: 512 distinct values	High cardinality
`ocorrencia_dia` has a high cardinality: 2684 distinct values	High cardinality
`ocorrencia_hora` has a high cardinality: 923 distinct values	High cardinality
`ocorrencia_localizacao` has a high cardinality: 2695 distinct values	High cardinality
`ocorrencia_DT` has a high cardinality: 5144 distinct values	High cardinality
`ocorrencia_tipo` has a high cardinality: 80 distinct values	High cardinality
`ocorrencia_tipo_categoria` has a high cardinality: 79 distinct values	High cardinality
`aeronave_matricula` has a high cardinality: 3901 distinct values	High cardinality
`aeronave_fabricante` has a high cardinality: 233 distinct values	High cardinality
`aeronave_modelo` has a high cardinality: 737 distinct values	High cardinality
`aeronave_tipo_icao` has a high cardinality: 229 distinct values	High cardinality
`aeronave_voo_origem` has a high cardinality: 677 distinct values	High cardinality
`aeronave_voo_destino` has a high cardinality: 674 distinct values	High cardinality
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `aeronave_tipo_veiculo` and 2 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `aeronave_nivel_dano` and 5 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `aeronave_tipo_operacao` and 1 other fields	High correlation
`aeronave_nivel_dano` is highly correlated with `ocorrencia_tipo_categoria` and 3 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `aeronave_motor_tipo` and 1 other fields	High correlation
`taxonomia_tipo_icao` is highly correlated with `ocorrencia_tipo_categoria` and 2 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `aeronave_registro_segmento` and 1 other fields	High correlation
`ocorrencia_tipo` is highly correlated with `ocorrencia_tipo_categoria` and 5 other fields	High correlation
`divulgacao_relatorio_publicado` is highly correlated with `aeronave_nivel_dano` and 1 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `aeronave_registro_segmento` and 4 other fields	High correlation
`investigacao_status` is highly correlated with `aeronave_operador_categoria`	High correlation
`aeronave_registro_categoria` is highly correlated with `aeronave_motor_tipo` and 1 other fields	High correlation
`ocorrencia_saida_pista` is highly correlated with `ocorrencia_tipo_categoria` and 2 other fields	High correlation
`investigacao_aeronave_liberada` is highly correlated with `aeronave_operador_categoria`	High correlation
`ocorrencia_classificacao` is highly correlated with `ocorrencia_tipo_categoria` and 4 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `aeronave_motor_tipo`	High correlation
`total_aeronaves_envolvidas` is highly correlated with `ocorrencia_tipo_categoria` and 1 other fields	High correlation
`ocorrencia_classificacao` is highly correlated with `ocorrencia_tipo` and 7 other fields	High correlation
`ocorrencia_uf` is highly correlated with `aeronave_tipo_operacao`	High correlation
`investigacao_status` is highly correlated with `aeronave_nivel_dano`	High correlation
`divulgacao_relatorio_publicado` is highly correlated with `ocorrencia_tipo` and 3 other fields	High correlation
`total_aeronaves_envolvidas` is highly correlated with `ocorrencia_tipo` and 2 other fields	High correlation
`ocorrencia_saida_pista` is highly correlated with `ocorrencia_tipo` and 2 other fields	High correlation
`ocorrencia_tipo` is highly correlated with `ocorrencia_classificacao` and 14 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `ocorrencia_classificacao` and 14 other fields	High correlation
`taxonomia_tipo_icao` is highly correlated with `ocorrencia_classificacao` and 7 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `ocorrencia_tipo` and 6 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `ocorrencia_tipo` and 11 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `ocorrencia_tipo` and 8 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_operador_categoria` and 6 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_operador_categoria` and 6 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_operador_categoria` and 6 other fields	High correlation
`aeronave_ano_fabricacao` is highly correlated with `aeronave_motor_tipo`	High correlation
`aeronave_registro_categoria` is highly correlated with `ocorrencia_tipo` and 6 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_fase_operacao` is highly correlated with `ocorrencia_classificacao` and 7 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_nivel_dano` is highly correlated with `ocorrencia_classificacao` and 9 other fields	High correlation
`aeronave_fatalidades_total` is highly correlated with `aeronave_nivel_dano`	High correlation
`ocorrencia_aerodromo` has 1986 (36.7%) missing values	Missing
`investigacao_aeronave_liberada` has 1811 (33.4%) missing values	Missing
`investigacao_status` has 261 (4.8%) missing values	Missing
`ocorrencia_localizacao` has 1524 (28.1%) missing values	Missing
`aeronave_operador_categoria` has 3128 (57.7%) missing values	Missing
`aeronave_tipo_veiculo` has 159 (2.9%) missing values	Missing
`aeronave_fabricante` has 358 (6.6%) missing values	Missing
`aeronave_modelo` has 175 (3.2%) missing values	Missing
`aeronave_tipo_icao` has 271 (5.0%) missing values	Missing
`aeronave_motor_tipo` has 237 (4.4%) missing values	Missing
`aeronave_motor_quantidade` has 94 (1.7%) missing values	Missing
`aeronave_assentos` has 199 (3.7%) missing values	Missing
`aeronave_ano_fabricacao` has 520 (9.6%) missing values	Missing
`aeronave_registro_categoria` has 159 (2.9%) missing values	Missing
`aeronave_registro_segmento` has 73 (1.3%) missing values	Missing
`aeronave_voo_origem` has 204 (3.8%) missing values	Missing
`aeronave_voo_destino` has 196 (3.6%) missing values	Missing
`aeronave_tipo_operacao` has 148 (2.7%) missing values	Missing
`ocorrencia_dia` is uniformly distributed	Uniform
`ocorrencia_DT` is uniformly distributed	Uniform
`aeronave_matricula` is uniformly distributed	Uniform
`total_recomendacoes` has 4779 (88.2%) zeros	Zeros
`aeronave_pmd` has 241 (4.4%) zeros	Zeros
`aeronave_pmd_categoria` has 241 (4.4%) zeros	Zeros
`aeronave_assentos` has 258 (4.8%) zeros	Zeros
`aeronave_fatalidades_total` has 5015 (92.6%) zeros	Zeros

Reproduction

Analysis started	2022-05-29 04:55:03.469638
Analysis finished	2022-05-29 04:55:19.030134
Duration	15.56 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

ocorrencia_classificacao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

INCIDENTE	2863
ACIDENTE	1791
INCIDENTE GRAVE	763

Length

Max length	15
Median length	9
Mean length	9.514491416
Min length	8

Characters and Unicode

Total characters	51540
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INCIDENTE
2nd row	ACIDENTE
3rd row	ACIDENTE
4th row	ACIDENTE
5th row	ACIDENTE

Common Values

Value	Count	Frequency (%)
INCIDENTE	2863	52.9%
ACIDENTE	1791	33.1%
INCIDENTE GRAVE	763	14.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
incidente	3626	58.7%
acidente	1791	29.0%
grave	763	12.3%

Most occurring characters

Value	Count	Frequency (%)
E	11597	22.5%
I	9043	17.5%
N	9043	17.5%
C	5417	10.5%
D	5417	10.5%
T	5417	10.5%
A	2554	5.0%
	763	1.5%
G	763	1.5%
R	763	1.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	50777	98.5%
Space Separator	763	1.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	11597	22.8%
I	9043	17.8%
N	9043	17.8%
C	5417	10.7%
D	5417	10.7%
T	5417	10.7%
A	2554	5.0%
G	763	1.5%
R	763	1.5%
V	763	1.5%

Space Separator

Value	Count	Frequency (%)
	763	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50777	98.5%
Common	763	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	11597	22.8%
I	9043	17.8%
N	9043	17.8%
C	5417	10.7%
D	5417	10.7%
T	5417	10.7%
A	2554	5.0%
G	763	1.5%
R	763	1.5%
V	763	1.5%

Common

Value	Count	Frequency (%)
	763	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51540	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	11597	22.5%
I	9043	17.5%
N	9043	17.5%
C	5417	10.5%
D	5417	10.5%
T	5417	10.5%
A	2554	5.0%
	763	1.5%
G	763	1.5%
R	763	1.5%

ocorrencia_cidade
Categorical

HIGH CARDINALITY

Distinct	1068
Distinct (%)	19.7%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

SÃO PAULO - SP	257
RIO DE JANEIRO - RJ	256
BELO HORIZONTE - MG	174
CAMPINAS - SP	170
GUARULHOS - SP	130
Other values (1063)	4430

Length

Max length	37
Median length	30
Mean length	15.20509507
Min length	8

Characters and Unicode

Total characters	82366
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	548 ?
Unique (%)	10.1%

Sample

1st row	PORTO ALEGRE - RS
2nd row	GUARULHOS - SP
3rd row	VIAMÃO - RS
4th row	SÃO SEBASTIÃO - SP
5th row	SÃO SEPÉ - RS

Common Values

Value	Count	Frequency (%)
SÃO PAULO - SP	257	4.7%
RIO DE JANEIRO - RJ	256	4.7%
BELO HORIZONTE - MG	174	3.2%
CAMPINAS - SP	170	3.1%
GUARULHOS - SP	130	2.4%
GOIÂNIA - GO	125	2.3%
BRASÍLIA - DF	113	2.1%
LONDRINA - PR	112	2.1%
MANAUS - AM	95	1.8%
PORTO ALEGRE - RS	91	1.7%
Other values (1058)	3894	71.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	5419	27.6%
sp	1332	6.8%
mg	510	2.6%
são	468	2.4%
pr	452	2.3%
rj	414	2.1%
rio	359	1.8%
de	351	1.8%
rs	342	1.7%
mt	297	1.5%
Other values (1090)	9667	49.3%

Most occurring characters

Value	Count	Frequency (%)
	14194	17.2%
A	8506	10.3%
O	6023	7.3%
R	5855	7.1%
-	5438	6.6%
S	5111	6.2%
I	4519	5.5%
P	3921	4.8%
E	3542	4.3%
N	3026	3.7%
Other values (30)	22231	27.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	62717	76.1%
Space Separator	14194	17.2%
Dash Punctuation	5438	6.6%
Other Punctuation	17	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	8506	13.6%
O	6023	9.6%
R	5855	9.3%
S	5111	8.1%
I	4519	7.2%
P	3921	6.3%
E	3542	5.6%
N	3026	4.8%
M	2547	4.1%
T	2293	3.7%
Other values (26)	17374	27.7%

Other Punctuation

Value	Count	Frequency (%)
'	11	64.7%
*	6	35.3%

Space Separator

Value	Count	Frequency (%)
	14194	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5438	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	62717	76.1%
Common	19649	23.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	8506	13.6%
O	6023	9.6%
R	5855	9.3%
S	5111	8.1%
I	4519	7.2%
P	3921	6.3%
E	3542	5.6%
N	3026	4.8%
M	2547	4.1%
T	2293	3.7%
Other values (26)	17374	27.7%

Common

Value	Count	Frequency (%)
	14194	72.2%
-	5438	27.7%
'	11	0.1%
*	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79919	97.0%
None	2447	3.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	14194	17.8%
A	8506	10.6%
O	6023	7.5%
R	5855	7.3%
-	5438	6.8%
S	5111	6.4%
I	4519	5.7%
P	3921	4.9%
E	3542	4.4%
N	3026	3.8%
Other values (19)	19784	24.8%

None

Value	Count	Frequency (%)
Ã	709	29.0%
É	368	15.0%
Í	338	13.8%
Á	334	13.6%
Â	223	9.1%
Ó	220	9.0%
Ç	184	7.5%
Ê	30	1.2%
Ú	18	0.7%
Ô	17	0.7%

ocorrencia_uf
Categorical

HIGH CORRELATION

Distinct	27
Distinct (%)	0.5%
Missing	2
Missing (%)	< 0.1%
Memory size	42.4 KiB

SP	1332
MG	510
PR	452
RJ	414
RS	342
Other values (22)	2365

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	10830
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RS
2nd row	SP
3rd row	RS
4th row	SP
5th row	RS

Common Values

Value	Count	Frequency (%)
SP	1332	24.6%
MG	510	9.4%
PR	452	8.3%
RJ	414	7.6%
RS	342	6.3%
MT	297	5.5%
GO	285	5.3%
PA	269	5.0%
AM	212	3.9%
BA	201	3.7%
Other values (17)	1101	20.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sp	1332	24.6%
mg	510	9.4%
pr	452	8.3%
rj	414	7.6%
rs	342	6.3%
mt	297	5.5%
go	285	5.3%
pa	269	5.0%
am	212	3.9%
ba	201	3.7%
Other values (17)	1101	20.3%

Most occurring characters

Value	Count	Frequency (%)
P	2219	20.5%
S	2109	19.5%
R	1383	12.8%
M	1247	11.5%
A	833	7.7%
G	795	7.3%
J	414	3.8%
O	379	3.5%
T	345	3.2%
C	308	2.8%
Other values (7)	798	7.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10830	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	2219	20.5%
S	2109	19.5%
R	1383	12.8%
M	1247	11.5%
A	833	7.7%
G	795	7.3%
J	414	3.8%
O	379	3.5%
T	345	3.2%
C	308	2.8%
Other values (7)	798	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10830	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	2219	20.5%
S	2109	19.5%
R	1383	12.8%
M	1247	11.5%
A	833	7.7%
G	795	7.3%
J	414	3.8%
O	379	3.5%
T	345	3.2%
C	308	2.8%
Other values (7)	798	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10830	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	2219	20.5%
S	2109	19.5%
R	1383	12.8%
M	1247	11.5%
A	833	7.7%
G	795	7.3%
J	414	3.8%
O	379	3.5%
T	345	3.2%
C	308	2.8%
Other values (7)	798	7.4%

ocorrencia_aerodromo
Categorical

HIGH CARDINALITY
MISSING

Distinct	512
Distinct (%)	14.9%
Missing	1986
Missing (%)	36.7%
Memory size	42.4 KiB

SBGR	126
SBMT	121
SBBH	106
SBKP	98
SBLO	87
Other values (507)	2893

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	13724
Distinct characters	28
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	248 ?
Unique (%)	7.2%

Sample

1st row	SBPA
2nd row	SBGR
3rd row	SDAI
4th row	SBBE
5th row	SBUL

Common Values

Value	Count	Frequency (%)
SBGR	126	2.3%
SBMT	121	2.2%
SBBH	106	2.0%
SBKP	98	1.8%
SBLO	87	1.6%
SBGL	84	1.6%
SBBR	80	1.5%
SBJD	78	1.4%
SBSP	70	1.3%
SBPA	68	1.3%
Other values (502)	2513	46.4%
(Missing)	1986	36.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sbgr	126	3.7%
sbmt	121	3.5%
sbbh	106	3.1%
sbkp	98	2.9%
sblo	87	2.5%
sbgl	84	2.4%
sbbr	80	2.3%
sbjd	78	2.3%
sbsp	70	2.0%
sbpa	68	2.0%
Other values (502)	2513	73.2%

Most occurring characters

Value	Count	Frequency (%)
S	3911	28.5%
B	2985	21.8%
R	569	4.1%
P	568	4.1%
G	514	3.7%
D	449	3.3%
J	383	2.8%
L	370	2.7%
N	359	2.6%
C	348	2.5%
Other values (18)	3268	23.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13715	99.9%
Decimal Number	9	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	3911	28.5%
B	2985	21.8%
R	569	4.1%
P	568	4.1%
G	514	3.7%
D	449	3.3%
J	383	2.8%
L	370	2.7%
N	359	2.6%
C	348	2.5%
Other values (16)	3259	23.8%

Decimal Number

Value	Count	Frequency (%)
9	8	88.9%
5	1	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13715	99.9%
Common	9	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	3911	28.5%
B	2985	21.8%
R	569	4.1%
P	568	4.1%
G	514	3.7%
D	449	3.3%
J	383	2.8%
L	370	2.7%
N	359	2.6%
C	348	2.5%
Other values (16)	3259	23.8%

Common

Value	Count	Frequency (%)
9	8	88.9%
5	1	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13724	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	3911	28.5%
B	2985	21.8%
R	569	4.1%
P	568	4.1%
G	514	3.7%
D	449	3.3%
J	383	2.8%
L	370	2.7%
N	359	2.6%
C	348	2.5%
Other values (18)	3268	23.8%

ocorrencia_dia
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2684
Distinct (%)	49.5%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

22/02/2017	9
18/12/2013	9
05/11/2021	8
09/02/2014	7
07/08/2019	7
Other values (2679)	5377

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	54170
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1096 ?
Unique (%)	20.2%

Sample

1st row	05/01/2012
2nd row	06/01/2012
3rd row	06/01/2012
4th row	06/01/2012
5th row	06/01/2012

Common Values

Value	Count	Frequency (%)
22/02/2017	9	0.2%
18/12/2013	9	0.2%
05/11/2021	8	0.1%
09/02/2014	7	0.1%
07/08/2019	7	0.1%
13/05/2021	7	0.1%
11/10/2013	6	0.1%
17/02/2012	6	0.1%
03/05/2013	6	0.1%
08/05/2013	6	0.1%
Other values (2674)	5346	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
22/02/2017	9	0.2%
18/12/2013	9	0.2%
05/11/2021	8	0.1%
09/02/2014	7	0.1%
07/08/2019	7	0.1%
13/05/2021	7	0.1%
16/10/2020	6	0.1%
12/02/2014	6	0.1%
09/04/2014	6	0.1%
12/04/2019	6	0.1%
Other values (2674)	5346	98.7%

Most occurring characters

Value	Count	Frequency (%)
0	12627	23.3%
/	10834	20.0%
2	10476	19.3%
1	9543	17.6%
3	2019	3.7%
9	1514	2.8%
4	1508	2.8%
8	1457	2.7%
5	1428	2.6%
7	1406	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43336	80.0%
Other Punctuation	10834	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12627	29.1%
2	10476	24.2%
1	9543	22.0%
3	2019	4.7%
9	1514	3.5%
4	1508	3.5%
8	1457	3.4%
5	1428	3.3%
7	1406	3.2%
6	1358	3.1%

Other Punctuation

Value	Count	Frequency (%)
/	10834	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	54170	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12627	23.3%
/	10834	20.0%
2	10476	19.3%
1	9543	17.6%
3	2019	3.7%
9	1514	2.8%
4	1508	2.8%
8	1457	2.7%
5	1428	2.6%
7	1406	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12627	23.3%
/	10834	20.0%
2	10476	19.3%
1	9543	17.6%
3	2019	3.7%
9	1514	2.8%
4	1508	2.8%
8	1457	2.7%
5	1428	2.6%
7	1406	2.6%

ocorrencia_hora
Categorical

HIGH CARDINALITY

Distinct	923
Distinct (%)	17.0%
Missing	1
Missing (%)	< 0.1%
Memory size	42.4 KiB

20:00:00	115
19:00:00	90
18:00:00	86
13:00:00	86
13:30:00	84
Other values (918)	4955

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	43328
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	322 ?
Unique (%)	5.9%

Sample

1st row	20:27:00
2nd row	13:44:00
3rd row	13:00:00
4th row	17:00:00
5th row	16:30:00

Common Values

Value	Count	Frequency (%)
20:00:00	115	2.1%
19:00:00	90	1.7%
18:00:00	86	1.6%
13:00:00	86	1.6%
13:30:00	84	1.6%
12:00:00	82	1.5%
20:30:00	81	1.5%
19:30:00	77	1.4%
14:00:00	76	1.4%
15:00:00	76	1.4%
Other values (913)	4563	84.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00:00	115	2.1%
19:00:00	90	1.7%
18:00:00	86	1.6%
13:00:00	86	1.6%
13:30:00	84	1.6%
12:00:00	82	1.5%
20:30:00	81	1.5%
19:30:00	77	1.4%
14:00:00	76	1.4%
15:00:00	76	1.4%
Other values (913)	4563	84.3%

Most occurring characters

Value	Count	Frequency (%)
0	16375	37.8%
:	10832	25.0%
1	5502	12.7%
2	2488	5.7%
5	2061	4.8%
3	2012	4.6%
4	1445	3.3%
9	750	1.7%
8	707	1.6%
7	620	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	32496	75.0%
Other Punctuation	10832	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	16375	50.4%
1	5502	16.9%
2	2488	7.7%
5	2061	6.3%
3	2012	6.2%
4	1445	4.4%
9	750	2.3%
8	707	2.2%
7	620	1.9%
6	536	1.6%

Other Punctuation

Value	Count	Frequency (%)
:	10832	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	16375	37.8%
:	10832	25.0%
1	5502	12.7%
2	2488	5.7%
5	2061	4.8%
3	2012	4.6%
4	1445	3.3%
9	750	1.7%
8	707	1.6%
7	620	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	16375	37.8%
:	10832	25.0%
1	5502	12.7%
2	2488	5.7%
5	2061	4.8%
3	2012	4.6%
4	1445	3.3%
9	750	1.7%
8	707	1.6%
7	620	1.4%

investigacao_aeronave_liberada
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	1811
Missing (%)	33.4%
Memory size	42.4 KiB

SIM	3569
NÃO	37

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	10818
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SIM
2nd row	SIM
3rd row	SIM
4th row	SIM
5th row	SIM

Common Values

Value	Count	Frequency (%)
SIM	3569	65.9%
NÃO	37	0.7%
(Missing)	1811	33.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
sim	3569	99.0%
não	37	1.0%

Most occurring characters

Value	Count	Frequency (%)
S	3569	33.0%
I	3569	33.0%
M	3569	33.0%
N	37	0.3%
Ã	37	0.3%
O	37	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10818	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	3569	33.0%
I	3569	33.0%
M	3569	33.0%
N	37	0.3%
Ã	37	0.3%
O	37	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10818	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	3569	33.0%
I	3569	33.0%
M	3569	33.0%
N	37	0.3%
Ã	37	0.3%
O	37	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10781	99.7%
None	37	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	3569	33.1%
I	3569	33.1%
M	3569	33.1%
N	37	0.3%
O	37	0.3%

None

Value	Count	Frequency (%)
Ã	37	100.0%

investigacao_status
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	261
Missing (%)	4.8%
Memory size	42.4 KiB

FINALIZADA	4662
ATIVA	494

Length

Max length	10
Median length	10
Mean length	9.52094647
Min length	5

Characters and Unicode

Total characters	49090
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FINALIZADA
2nd row	FINALIZADA
3rd row	FINALIZADA
4th row	FINALIZADA
5th row	FINALIZADA

Common Values

Value	Count	Frequency (%)
FINALIZADA	4662	86.1%
ATIVA	494	9.1%
(Missing)	261	4.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
finalizada	4662	90.4%
ativa	494	9.6%

Most occurring characters

Value	Count	Frequency (%)
A	14974	30.5%
I	9818	20.0%
F	4662	9.5%
N	4662	9.5%
L	4662	9.5%
Z	4662	9.5%
D	4662	9.5%
T	494	1.0%
V	494	1.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	49090	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	14974	30.5%
I	9818	20.0%
F	4662	9.5%
N	4662	9.5%
L	4662	9.5%
Z	4662	9.5%
D	4662	9.5%
T	494	1.0%
V	494	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49090	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	14974	30.5%
I	9818	20.0%
F	4662	9.5%
N	4662	9.5%
L	4662	9.5%
Z	4662	9.5%
D	4662	9.5%
T	494	1.0%
V	494	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	14974	30.5%
I	9818	20.0%
F	4662	9.5%
N	4662	9.5%
L	4662	9.5%
Z	4662	9.5%
D	4662	9.5%
T	494	1.0%
V	494	1.0%

divulgacao_relatorio_publicado
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

NÃO	3979
SIM	1438

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	16251
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NÃO
2nd row	SIM
3rd row	SIM
4th row	NÃO
5th row	SIM

Common Values

Value	Count	Frequency (%)
NÃO	3979	73.5%
SIM	1438	26.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
não	3979	73.5%
sim	1438	26.5%

Most occurring characters

Value	Count	Frequency (%)
N	3979	24.5%
Ã	3979	24.5%
O	3979	24.5%
S	1438	8.8%
I	1438	8.8%
M	1438	8.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	16251	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	3979	24.5%
Ã	3979	24.5%
O	3979	24.5%
S	1438	8.8%
I	1438	8.8%
M	1438	8.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16251	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	3979	24.5%
Ã	3979	24.5%
O	3979	24.5%
S	1438	8.8%
I	1438	8.8%
M	1438	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12272	75.5%
None	3979	24.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	3979	32.4%
O	3979	32.4%
S	1438	11.7%
I	1438	11.7%
M	1438	11.7%

None

Value	Count	Frequency (%)
Ã	3979	100.0%

total_recomendacoes
Real number (ℝ_≥0)

ZEROS

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2396160236

Minimum	0
Maximum	13
Zeros	4779
Zeros (%)	88.2%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	13
Range	13
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8562674489
Coefficient of variation (CV)	3.573498283
Kurtosis	47.42642397
Mean	0.2396160236
Median Absolute Deviation (MAD)	0
Skewness	5.804398978
Sum	1298
Variance	0.7331939441
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	4779	88.2%
1	316	5.8%
2	175	3.2%
3	70	1.3%
4	39	0.7%
6	11	0.2%
5	9	0.2%
7	7	0.1%
9	6	0.1%
8	2	< 0.1%
Other values (3)	3	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4779	88.2%
1	316	5.8%
2	175	3.2%
3	70	1.3%
4	39	0.7%
5	9	0.2%
6	11	0.2%
7	7	0.1%
8	2	< 0.1%
9	6	0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
12	1	< 0.1%
11	1	< 0.1%
9	6	0.1%
8	2	< 0.1%
7	7	0.1%
6	11	0.2%
5	9	0.2%
4	39	0.7%
3	70	1.3%

total_aeronaves_envolvidas
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

1	5280
2	128
3	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5417
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

Most occurring characters

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5417	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	5417	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5417	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

ocorrencia_saida_pista
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

NÃO	4809
SIM	608

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	16251
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NÃO
2nd row	NÃO
3rd row	NÃO
4th row	NÃO
5th row	NÃO

Common Values

Value	Count	Frequency (%)
NÃO	4809	88.8%
SIM	608	11.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
não	4809	88.8%
sim	608	11.2%

Most occurring characters

Value	Count	Frequency (%)
N	4809	29.6%
Ã	4809	29.6%
O	4809	29.6%
S	608	3.7%
I	608	3.7%
M	608	3.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	16251	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	4809	29.6%
Ã	4809	29.6%
O	4809	29.6%
S	608	3.7%
I	608	3.7%
M	608	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16251	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	4809	29.6%
Ã	4809	29.6%
O	4809	29.6%
S	608	3.7%
I	608	3.7%
M	608	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11442	70.4%
None	4809	29.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	4809	42.0%
O	4809	42.0%
S	608	5.3%
I	608	5.3%
M	608	5.3%

None

Value	Count	Frequency (%)
Ã	4809	100.0%

ocorrencia_localizacao
Categorical

HIGH CARDINALITY
MISSING

Distinct	2695
Distinct (%)	69.2%
Missing	1524
Missing (%)	28.1%
Memory size	42.4 KiB

\t-23.33027778\t / \t-51.13666667\t	39
-23.00694444444 / -47.13444444444	33
\t-29.99388889\t / \t-51.17111111\t	27
-23.0069444444 / -47.1344444444	22
\t-25.53166667\t / \t-49.17611111\t	20
Other values (2690)	3752

Length

Max length	35
Median length	33
Mean length	28.38196763
Min length	9

Characters and Unicode

Total characters	110491
Distinct characters	41
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2269 ?
Unique (%)	58.3%

Sample

1st row	-23.4355555556 / -46.4730555556
2nd row	-19.9133333333 / -48.2930555556
3rd row	-5.3677777778 / -49.1383333333
4th row	-24.5888888889 / -48.2113888889
5th row	-16.0388888889 / -57.5958333333

Common Values

Value	Count	Frequency (%)
\t-23.33027778\t / \t-51.13666667\t	39	0.7%
-23.00694444444 / -47.13444444444	33	0.6%
\t-29.99388889\t / \t-51.17111111\t	27	0.5%
-23.0069444444 / -47.1344444444	22	0.4%
\t-25.53166667\t / \t-49.17611111\t	20	0.4%
-23.1816666667 / -46.9436111111	18	0.3%
-23.6261111111 / -46.6563888889	17	0.3%
-12.9086111111 / -38.3225	17	0.3%
\t-25.40333333\t / \t-49.23361111\t	17	0.3%
-19.8519444444 / -43.9505555556	16	0.3%
Other values (2685)	3667	67.7%
(Missing)	1524	28.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	3896	33.3%
22.81	45	0.4%
t-23.33027778\t	41	0.4%
t-51.13666667\t	39	0.3%
23.00694444444	36	0.3%
47.13444444444	35	0.3%
t-29.99388889\t	30	0.3%
t-51.17111111\t	29	0.2%
47.1344444444	26	0.2%
23.0069444444	23	0.2%
Other values (5150)	7509	64.1%

Most occurring characters

Value	Count	Frequency (%)
4	10356	9.4%
.	9476	8.6%
1	9252	8.4%
2	8860	8.0%
5	8720	7.9%
6	8446	7.6%
3	8174	7.4%
	7816	7.1%
-	7663	6.9%
8	7634	6.9%
Other values (31)	24094	21.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76632	69.4%
Other Punctuation	15827	14.3%
Space Separator	7816	7.1%
Dash Punctuation	7663	6.9%
Lowercase Letter	2428	2.2%
Other Symbol	73	0.1%
Uppercase Letter	44	< 0.1%
Final Punctuation	8	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	9	20.5%
W	9	20.5%
O	6	13.6%
N	4	9.1%
Ã	2	4.5%
A	2	4.5%
M	2	4.5%
R	2	4.5%
F	2	4.5%
I	2	4.5%
Other values (2)	4	9.1%

Decimal Number

Value	Count	Frequency (%)
4	10356	13.5%
1	9252	12.1%
2	8860	11.6%
5	8720	11.4%
6	8446	11.0%
3	8174	10.7%
8	7634	10.0%
7	7246	9.5%
9	4094	5.3%
0	3850	5.0%

Lowercase Letter

Value	Count	Frequency (%)
t	2414	99.4%
o	2	0.1%
n	2	0.1%
e	2	0.1%
d	2	0.1%
u	2	0.1%
i	2	0.1%
g	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	9476	59.9%
/	3893	24.6%
\	2412	15.2%
,	38	0.2%
*	6	< 0.1%
:	2	< 0.1%

Final Punctuation

Value	Count	Frequency (%)
”	4	50.0%
’	4	50.0%

Space Separator

Value	Count	Frequency (%)
	7816	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7663	100.0%

Other Symbol

Value	Count	Frequency (%)
°	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108019	97.8%
Latin	2472	2.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	10356	9.6%
.	9476	8.8%
1	9252	8.6%
2	8860	8.2%
5	8720	8.1%
6	8446	7.8%
3	8174	7.6%
	7816	7.2%
-	7663	7.1%
8	7634	7.1%
Other values (11)	21622	20.0%

Latin

Value	Count	Frequency (%)
t	2414	97.7%
S	9	0.4%
W	9	0.4%
O	6	0.2%
N	4	0.2%
o	2	0.1%
Ã	2	0.1%
A	2	0.1%
M	2	0.1%
R	2	0.1%
Other values (10)	20	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110408	99.9%
None	75	0.1%
Punctuation	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	10356	9.4%
.	9476	8.6%
1	9252	8.4%
2	8860	8.0%
5	8720	7.9%
6	8446	7.6%
3	8174	7.4%
	7816	7.1%
-	7663	6.9%
8	7634	6.9%
Other values (27)	24011	21.7%

None

Value	Count	Frequency (%)
°	73	97.3%
Ã	2	2.7%

Punctuation

Value	Count	Frequency (%)
”	4	50.0%
’	4	50.0%

ocorrencia_DT
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	5144
Distinct (%)	95.0%
Missing	1
Missing (%)	< 0.1%
Memory size	42.4 KiB

2021-12-07 19:10:00	4
2021-05-11 17:10:00	4
2020-12-07 16:14:00	3
2020-10-16 14:30:00	3
2019-07-28 20:00:00	3
Other values (5139)	5399

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	102904
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4888 ?
Unique (%)	90.3%

Sample

1st row	2012-05-01 20:27:00
2nd row	2012-06-01 13:44:00
3rd row	2012-06-01 13:00:00
4th row	2012-06-01 17:00:00
5th row	2012-06-01 16:30:00

Common Values

Value	Count	Frequency (%)
2021-12-07 19:10:00	4	0.1%
2021-05-11 17:10:00	4	0.1%
2020-12-07 16:14:00	3	0.1%
2020-10-16 14:30:00	3	0.1%
2019-07-28 20:00:00	3	0.1%
2018-11-08 20:15:00	3	0.1%
2021-05-13 11:02:00	3	0.1%
2019-07-09 20:00:00	3	0.1%
2012-02-17 23:00:00	3	0.1%
2019-08-18 18:43:00	3	0.1%
Other values (5134)	5384	99.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00:00	115	1.1%
19:00:00	90	0.8%
18:00:00	86	0.8%
13:00:00	86	0.8%
13:30:00	84	0.8%
12:00:00	82	0.8%
20:30:00	81	0.7%
19:30:00	77	0.7%
14:00:00	76	0.7%
15:00:00	76	0.7%
Other values (3597)	9979	92.1%

Most occurring characters

Value	Count	Frequency (%)
0	28999	28.2%
1	15044	14.6%
2	12963	12.6%
-	10832	10.5%
:	10832	10.5%
	5416	5.3%
3	4031	3.9%
5	3489	3.4%
4	2953	2.9%
9	2263	2.2%
Other values (3)	6082	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	75824	73.7%
Dash Punctuation	10832	10.5%
Other Punctuation	10832	10.5%
Space Separator	5416	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28999	38.2%
1	15044	19.8%
2	12963	17.1%
3	4031	5.3%
5	3489	4.6%
4	2953	3.9%
9	2263	3.0%
8	2164	2.9%
7	2024	2.7%
6	1894	2.5%

Dash Punctuation

Value	Count	Frequency (%)
-	10832	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	10832	100.0%

Space Separator

Value	Count	Frequency (%)
	5416	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	102904	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28999	28.2%
1	15044	14.6%
2	12963	12.6%
-	10832	10.5%
:	10832	10.5%
	5416	5.3%
3	4031	3.9%
5	3489	3.4%
4	2953	2.9%
9	2263	2.2%
Other values (3)	6082	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	102904	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28999	28.2%
1	15044	14.6%
2	12963	12.6%
-	10832	10.5%
:	10832	10.5%
	5416	5.3%
3	4031	3.9%
5	3489	3.4%
4	2953	2.9%
9	2263	2.2%
Other values (3)	6082	5.9%

ocorrencia_mes
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	0.2%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	6.463626292

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.475513457
Coefficient of variation (CV)	0.5377033417
Kurtosis	-1.242413432
Mean	6.463626292
Median Absolute Deviation (MAD)	3
Skewness	-0.0005830875398
Sum	35007
Variance	12.07919379
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	526	9.7%
1	486	9.0%
9	479	8.8%
11	453	8.4%
10	453	8.4%
8	452	8.3%
12	437	8.1%
6	431	8.0%
7	431	8.0%
4	427	7.9%
Other values (2)	841	15.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	486	9.0%
2	419	7.7%
3	526	9.7%
4	427	7.9%
5	422	7.8%
6	431	8.0%
7	431	8.0%
8	452	8.3%
9	479	8.8%
10	453	8.4%

Value	Count	Frequency (%)
12	437	8.1%
11	453	8.4%
10	453	8.4%
9	479	8.8%
8	452	8.3%
7	431	8.0%
6	431	8.0%
5	422	7.8%
4	427	7.9%
3	526	9.7%

ocorrencia_tipo
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	1.5%
Missing	1
Missing (%)	< 0.1%
Memory size	42.4 KiB

FALHA DO MOTOR EM VOO	669
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596
ESTOURO DE PNEU	578
PERDA DE CONTROLE NO SOLO	386
PERDA DE CONTROLE EM VOO	327
Other values (75)	2860

Length

Max length	92
Median length	42
Mean length	23.84268833
Min length	6

Characters and Unicode

Total characters	129132
Distinct characters	41
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.1%

Sample

1st row	ESTOURO DE PNEU
2nd row	COM PESSOAL EM VOO
3rd row	FALHA DO MOTOR EM VOO
4th row	FALHA DO MOTOR EM VOO
5th row	PERDA DE CONTROLE NO SOLO

Common Values

Value	Count	Frequency (%)
FALHA DO MOTOR EM VOO	669	12.4%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596	11.0%
ESTOURO DE PNEU	578	10.7%
PERDA DE CONTROLE NO SOLO	386	7.1%
PERDA DE CONTROLE EM VOO	327	6.0%
COM TREM DE POUSO	314	5.8%
OUTROS	246	4.5%
COLISÃO COM AVE	199	3.7%
EXCURSÃO DE PISTA	188	3.5%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	173	3.2%
Other values (70)	1740	32.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2662	11.3%
falha	1329	5.6%
em	1279	5.4%
voo	1212	5.1%
com	995	4.2%
pouso	827	3.5%
	789	3.3%
perda	788	3.3%
motor	731	3.1%
do	731	3.1%
Other values (125)	12292	52.0%

Most occurring characters

Value	Count	Frequency (%)
O	20336	15.7%
	18219	14.1%
E	12928	10.0%
A	8892	6.9%
M	6812	5.3%
N	6776	5.2%
T	6468	5.0%
S	5938	4.6%
R	5463	4.2%
U	5376	4.2%
Other values (31)	31924	24.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	109878	85.1%
Space Separator	18219	14.1%
Other Punctuation	922	0.7%
Dash Punctuation	67	0.1%
Open Punctuation	23	< 0.1%
Close Punctuation	23	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	20336	18.5%
E	12928	11.8%
A	8892	8.1%
M	6812	6.2%
N	6776	6.2%
T	6468	5.9%
S	5938	5.4%
R	5463	5.0%
U	5376	4.9%
D	5211	4.7%
Other values (24)	25678	23.4%

Other Punctuation

Value	Count	Frequency (%)
/	797	86.4%
.	117	12.7%
,	8	0.9%

Space Separator

Value	Count	Frequency (%)
	18219	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	67	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	23	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	109878	85.1%
Common	19254	14.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	20336	18.5%
E	12928	11.8%
A	8892	8.1%
M	6812	6.2%
N	6776	6.2%
T	6468	5.9%
S	5938	5.4%
R	5463	5.0%
U	5376	4.9%
D	5211	4.7%
Other values (24)	25678	23.4%

Common

Value	Count	Frequency (%)
	18219	94.6%
/	797	4.1%
.	117	0.6%
-	67	0.3%
(	23	0.1%
)	23	0.1%
,	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127099	98.4%
None	2033	1.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	20336	16.0%
	18219	14.3%
E	12928	10.2%
A	8892	7.0%
M	6812	5.4%
N	6776	5.3%
T	6468	5.1%
S	5938	4.7%
R	5463	4.3%
U	5376	4.2%
Other values (21)	29891	23.5%

None

Value	Count	Frequency (%)
Ã	1058	52.0%
Á	382	18.8%
Ç	180	8.9%
É	134	6.6%
Ó	114	5.6%
Ô	96	4.7%
Í	34	1.7%
Õ	15	0.7%
Ê	12	0.6%
Â	8	0.4%

ocorrencia_tipo_categoria
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	79
Distinct (%)	1.5%
Missing	3
Missing (%)	0.1%
Memory size	42.4 KiB

FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	669
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	578
PERDA DE CONTROLE NO SOLO	386
PERDA DE CONTROLE EM VOO	327
Other values (74)	2858

Length

Max length	96
Median length	80
Mean length	43.68821574
Min length	6

Characters and Unicode

Total characters	236528
Distinct characters	42
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.1%

Sample

1st row	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU
2nd row	OUTROS \| COM PESSOAL EM VOO
3rd row	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO
4th row	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO
5th row	PERDA DE CONTROLE NO SOLO

Common Values

Value	Count	Frequency (%)
FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	669	12.4%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596	11.0%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	578	10.7%
PERDA DE CONTROLE NO SOLO	386	7.1%
PERDA DE CONTROLE EM VOO	327	6.0%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	314	5.8%
OUTROS	246	4.5%
COLISÃO COM AVE	199	3.7%
EXCURSÃO DE PISTA	188	3.5%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	173	3.2%
Other values (69)	1738	32.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	4904	11.4%
de	3976	9.3%
falha	3197	7.5%
ou	2515	5.9%
mau	2493	5.8%
funcionamento	2493	5.8%
componente	1791	4.2%
sistema	1723	4.0%
do	1472	3.4%
motor	1472	3.4%
Other values (124)	16850	39.3%

Most occurring characters

Value	Count	Frequency (%)
	37472	15.8%
O	33341	14.1%
E	20068	8.5%
A	19009	8.0%
N	15097	6.4%
M	14283	6.0%
T	12419	5.3%
U	11559	4.9%
S	9485	4.0%
C	8858	3.7%
Other values (32)	54937	23.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	193743	81.9%
Space Separator	37472	15.8%
Math Symbol	2860	1.2%
Other Punctuation	2242	0.9%
Open Punctuation	72	< 0.1%
Close Punctuation	72	< 0.1%
Dash Punctuation	67	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	33341	17.2%
E	20068	10.4%
A	19009	9.8%
N	15097	7.8%
M	14283	7.4%
T	12419	6.4%
U	11559	6.0%
S	9485	4.9%
C	8858	4.6%
D	7410	3.8%
Other values (24)	42214	21.8%

Other Punctuation

Value	Count	Frequency (%)
/	2117	94.4%
.	117	5.2%
,	8	0.4%

Space Separator

Value	Count	Frequency (%)
	37472	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2860	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	72	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	72	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	67	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	193743	81.9%
Common	42785	18.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	33341	17.2%
E	20068	10.4%
A	19009	9.8%
N	15097	7.8%
M	14283	7.4%
T	12419	6.4%
U	11559	6.0%
S	9485	4.9%
C	8858	4.6%
D	7410	3.8%
Other values (24)	42214	21.8%

Common

Value	Count	Frequency (%)
	37472	87.6%
\|	2860	6.7%
/	2117	4.9%
.	117	0.3%
(	72	0.2%
)	72	0.2%
-	67	0.2%
,	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	233775	98.8%
None	2753	1.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	37472	16.0%
O	33341	14.3%
E	20068	8.6%
A	19009	8.1%
N	15097	6.5%
M	14283	6.1%
T	12419	5.3%
U	11559	4.9%
S	9485	4.1%
C	8858	3.8%
Other values (22)	52184	22.3%

None

Value	Count	Frequency (%)
Ã	1484	53.9%
Á	380	13.8%
Ç	357	13.0%
É	166	6.0%
Í	121	4.4%
Ó	114	4.1%
Ô	96	3.5%
Õ	15	0.5%
Ê	12	0.4%
Â	8	0.3%

taxonomia_tipo_icao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	0.6%
Missing	1
Missing (%)	< 0.1%
Memory size	42.4 KiB

SCF-NP	1723
SCF-PP	770
OTHR	600
LOC-G	386
LOC-I	327
Other values (27)	1610

Length

Max length	7
Median length	6
Mean length	4.879431315
Min length	2

Characters and Unicode

Total characters	26427
Distinct characters	25
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	SCF-NP
2nd row	OTHR
3rd row	SCF-PP
4th row	SCF-PP
5th row	LOC-G

Common Values

Value	Count	Frequency (%)
SCF-NP	1723	31.8%
SCF-PP	770	14.2%
OTHR	600	11.1%
LOC-G	386	7.1%
LOC-I	327	6.0%
RE	247	4.6%
BIRD	199	3.7%
ARC	191	3.5%
CTOL	173	3.2%
UNK	126	2.3%
Other values (22)	674	12.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
scf-np	1723	31.8%
scf-pp	770	14.2%
othr	600	11.1%
loc-g	386	7.1%
loc-i	327	6.0%
re	247	4.6%
bird	199	3.7%
arc	191	3.5%
ctol	173	3.2%
unk	126	2.3%
Other values (22)	674	12.4%

Most occurring characters

Value	Count	Frequency (%)
C	3862	14.6%
P	3276	12.4%
-	3262	12.3%
F	2680	10.1%
S	2546	9.6%
N	1926	7.3%
O	1626	6.2%
L	1321	5.0%
R	1309	5.0%
T	932	3.5%
Other values (15)	3687	14.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	23131	87.5%
Dash Punctuation	3262	12.3%
Open Punctuation	13	< 0.1%
Close Punctuation	13	< 0.1%
Other Punctuation	8	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	3862	16.7%
P	3276	14.2%
F	2680	11.6%
S	2546	11.0%
N	1926	8.3%
O	1626	7.0%
L	1321	5.7%
R	1309	5.7%
T	932	4.0%
I	684	3.0%
Other values (11)	2969	12.8%

Dash Punctuation

Value	Count	Frequency (%)
-	3262	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	13	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	13	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23131	87.5%
Common	3296	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	3862	16.7%
P	3276	14.2%
F	2680	11.6%
S	2546	11.0%
N	1926	8.3%
O	1626	7.0%
L	1321	5.7%
R	1309	5.7%
T	932	4.0%
I	684	3.0%
Other values (11)	2969	12.8%

Common

Value	Count	Frequency (%)
-	3262	99.0%
[	13	0.4%
]	13	0.4%
/	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26427	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	3862	14.6%
P	3276	12.4%
-	3262	12.3%
F	2680	10.1%
S	2546	9.6%
N	1926	7.3%
O	1626	6.2%
L	1321	5.0%
R	1309	5.0%
T	932	3.5%
Other values (15)	3687	14.0%

aeronave_matricula
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3901
Distinct (%)	72.2%
Missing	14
Missing (%)	0.3%
Memory size	42.4 KiB

PRTTW	10
PRTTP	9
PRTTK	9
PRATV	9
PRFLM	9
Other values (3896)	5357

Length

Max length	8
Median length	5
Mean length	5.019433648
Min length	5

Characters and Unicode

Total characters	27120
Distinct characters	36
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2968 ?
Unique (%)	54.9%

Sample

1st row	PRCDL
2nd row	PRTKB
3rd row	PTGOO
4th row	PUUSS
5th row	PTUCL

Common Values

Value	Count	Frequency (%)
PRTTW	10	0.2%
PRTTP	9	0.2%
PRTTK	9	0.2%
PRATV	9	0.2%
PRFLM	9	0.2%
PRAYN	8	0.1%
PPPTQ	8	0.1%
PTLSJ	8	0.1%
PPFXH	8	0.1%
PREJI	7	0.1%
Other values (3891)	5318	98.2%
(Missing)	14	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prttw	10	0.2%
prttk	9	0.2%
pratv	9	0.2%
prflm	9	0.2%
prttp	9	0.2%
prayn	8	0.1%
ppptq	8	0.1%
ptlsj	8	0.1%
ppfxh	8	0.1%
pppto	7	0.1%
Other values (3891)	5318	98.4%

Most occurring characters

Value	Count	Frequency (%)
P	6662	24.6%
R	3014	11.1%
T	2623	9.7%
A	1218	4.5%
U	887	3.3%
M	836	3.1%
G	827	3.0%
E	746	2.8%
O	722	2.7%
C	705	2.6%
Other values (26)	8880	32.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	26874	99.1%
Decimal Number	246	0.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	6662	24.8%
R	3014	11.2%
T	2623	9.8%
A	1218	4.5%
U	887	3.3%
M	836	3.1%
G	827	3.1%
E	746	2.8%
O	722	2.7%
C	705	2.6%
Other values (16)	8634	32.1%

Decimal Number

Value	Count	Frequency (%)
1	37	15.0%
2	32	13.0%
3	29	11.8%
5	25	10.2%
0	23	9.3%
6	22	8.9%
7	21	8.5%
9	21	8.5%
4	20	8.1%
8	16	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26874	99.1%
Common	246	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	6662	24.8%
R	3014	11.2%
T	2623	9.8%
A	1218	4.5%
U	887	3.3%
M	836	3.1%
G	827	3.1%
E	746	2.8%
O	722	2.7%
C	705	2.6%
Other values (16)	8634	32.1%

Common

Value	Count	Frequency (%)
1	37	15.0%
2	32	13.0%
3	29	11.8%
5	25	10.2%
0	23	9.3%
6	22	8.9%
7	21	8.5%
9	21	8.5%
4	20	8.1%
8	16	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	6662	24.6%
R	3014	11.1%
T	2623	9.7%
A	1218	4.5%
U	887	3.3%
M	836	3.1%
G	827	3.0%
E	746	2.8%
O	722	2.7%
C	705	2.6%
Other values (26)	8880	32.7%

aeronave_operador_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	0.4%
Missing	3128
Missing (%)	57.7%
Memory size	42.4 KiB

REGULAR	636
PARTICULAR	589
TÁXI AÉREO	325
INSTRUÇÃO	303
EXPERIMENTAL	283
Other values (5)	153

Length

Max length	20
Median length	13
Mean length	9.678462211
Min length	7

Characters and Unicode

Total characters	22154
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PARTICULAR
2nd row	EXPERIMENTAL
3rd row	PARTICULAR
4th row	REGULAR
5th row	PARTICULAR

Common Values

Value	Count	Frequency (%)
REGULAR	636	11.7%
PARTICULAR	589	10.9%
TÁXI AÉREO	325	6.0%
INSTRUÇÃO	303	5.6%
EXPERIMENTAL	283	5.2%
ADMINISTRAÇÃO DIRETA	89	1.6%
AGRÍCOLA	21	0.4%
ESPECIALIZADA	21	0.4%
NÃO REGULAR	14	0.3%
MÚLTIPLA	8	0.1%
(Missing)	3128	57.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	650	23.9%
particular	589	21.7%
táxi	325	12.0%
aéreo	325	12.0%
instrução	303	11.2%
experimental	283	10.4%
administração	89	3.3%
direta	89	3.3%
agrícola	21	0.8%
especializada	21	0.8%
Other values (2)	22	0.8%

Most occurring characters

Value	Count	Frequency (%)
R	3588	16.2%
A	2816	12.7%
E	1955	8.8%
I	1817	8.2%
T	1686	7.6%
L	1580	7.1%
U	1542	7.0%
P	901	4.1%
O	752	3.4%
N	689	3.1%
Other values (14)	4828	21.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	21726	98.1%
Space Separator	428	1.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	3588	16.5%
A	2816	13.0%
E	1955	9.0%
I	1817	8.4%
T	1686	7.8%
L	1580	7.3%
U	1542	7.1%
P	901	4.1%
O	752	3.5%
N	689	3.2%
Other values (13)	4400	20.3%

Space Separator

Value	Count	Frequency (%)
	428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21726	98.1%
Common	428	1.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	3588	16.5%
A	2816	13.0%
E	1955	9.0%
I	1817	8.4%
T	1686	7.8%
L	1580	7.3%
U	1542	7.1%
P	901	4.1%
O	752	3.5%
N	689	3.2%
Other values (13)	4400	20.3%

Common

Value	Count	Frequency (%)
	428	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20677	93.3%
None	1477	6.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	3588	17.4%
A	2816	13.6%
E	1955	9.5%
I	1817	8.8%
T	1686	8.2%
L	1580	7.6%
U	1542	7.5%
P	901	4.4%
O	752	3.6%
N	689	3.3%
Other values (8)	3351	16.2%

None

Value	Count	Frequency (%)
Ã	406	27.5%
Ç	392	26.5%
É	325	22.0%
Á	325	22.0%
Í	21	1.4%
Ú	8	0.5%

aeronave_tipo_veiculo
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.2%
Missing	159
Missing (%)	2.9%
Memory size	42.4 KiB

AVIÃO	4346
HELICÓPTERO	556
ULTRALEVE	316
PLANADOR	18
ANFÍBIO	13
Other values (4)	9

Length

Max length	11
Median length	5
Mean length	5.892544694
Min length	5

Characters and Unicode

Total characters	30983
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	ULTRALEVE
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	4346	80.2%
HELICÓPTERO	556	10.3%
ULTRALEVE	316	5.8%
PLANADOR	18	0.3%
ANFÍBIO	13	0.2%
TRIKE	5	0.1%
DIRIGÍVEL	2	< 0.1%
BALÃO	1	< 0.1%
HIDROAVIÃO	1	< 0.1%
(Missing)	159	2.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
avião	4346	82.7%
helicóptero	556	10.6%
ultraleve	316	6.0%
planador	18	0.3%
anfíbio	13	0.2%
trike	5	0.1%
dirigível	2	< 0.1%
balão	1	< 0.1%
hidroavião	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
O	4936	15.9%
I	4926	15.9%
A	4713	15.2%
V	4665	15.1%
Ã	4348	14.0%
E	1751	5.7%
L	1209	3.9%
R	898	2.9%
T	877	2.8%
P	574	1.9%
Other values (11)	2086	6.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	30983	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	4936	15.9%
I	4926	15.9%
A	4713	15.2%
V	4665	15.1%
Ã	4348	14.0%
E	1751	5.7%
L	1209	3.9%
R	898	2.9%
T	877	2.8%
P	574	1.9%
Other values (11)	2086	6.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30983	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	4936	15.9%
I	4926	15.9%
A	4713	15.2%
V	4665	15.1%
Ã	4348	14.0%
E	1751	5.7%
L	1209	3.9%
R	898	2.9%
T	877	2.8%
P	574	1.9%
Other values (11)	2086	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26064	84.1%
None	4919	15.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	4936	18.9%
I	4926	18.9%
A	4713	18.1%
V	4665	17.9%
E	1751	6.7%
L	1209	4.6%
R	898	3.4%
T	877	3.4%
P	574	2.2%
H	557	2.1%
Other values (8)	958	3.7%

None

Value	Count	Frequency (%)
Ã	4348	88.4%
Ó	556	11.3%
Í	15	0.3%

aeronave_fabricante
Categorical

HIGH CARDINALITY
MISSING

Distinct	233
Distinct (%)	4.6%
Missing	358
Missing (%)	6.6%
Memory size	42.4 KiB

CESSNA AIRCRAFT	862
NEIVA INDUSTRIA AERONAUTICA	607
EMBRAER	600
PIPER AIRCRAFT	401
BOEING COMPANY	268
Other values (228)	2321

Length

Max length	47
Median length	39
Mean length	15.77406602
Min length	2

Characters and Unicode

Total characters	79801
Distinct characters	44
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	135 ?
Unique (%)	2.7%

Sample

1st row	RAYTHEON AIRCRAFT
2nd row	AEROSPATIALE AND ALENIA
3rd row	NEIVA INDUSTRIA AERONAUTICA
4th row	NEIVA INDUSTRIA AERONAUTICA
5th row	EUROCOPTER FRANCE

Common Values

Value	Count	Frequency (%)
CESSNA AIRCRAFT	862	15.9%
NEIVA INDUSTRIA AERONAUTICA	607	11.2%
EMBRAER	600	11.1%
PIPER AIRCRAFT	401	7.4%
BOEING COMPANY	268	4.9%
BEECH AIRCRAFT	266	4.9%
AIRBUS INDUSTRIE	253	4.7%
AEROSPATIALE AND ALENIA	249	4.6%
AERO BOERO	160	3.0%
ROBINSON HELICOPTER	132	2.4%
Other values (223)	1261	23.3%
(Missing)	358	6.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aircraft	1769	16.9%
cessna	862	8.3%
aeronautica	659	6.3%
industria	646	6.2%
neiva	607	5.8%
embraer	600	5.7%
piper	401	3.8%
company	271	2.6%
boeing	269	2.6%
beech	267	2.6%
Other values (425)	4091	39.2%

Most occurring characters

Value	Count	Frequency (%)
A	12075	15.1%
R	9518	11.9%
I	7712	9.7%
E	7668	9.6%
	5385	6.7%
N	4976	6.2%
C	4783	6.0%
T	4712	5.9%
S	4211	5.3%
O	3417	4.3%
Other values (34)	15344	19.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	74336	93.2%
Space Separator	5385	6.7%
Other Punctuation	57	0.1%
Dash Punctuation	17	< 0.1%
Decimal Number	5	< 0.1%
Lowercase Letter	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	12075	16.2%
R	9518	12.8%
I	7712	10.4%
E	7668	10.3%
N	4976	6.7%
C	4783	6.4%
T	4712	6.3%
S	4211	5.7%
O	3417	4.6%
U	2319	3.1%
Other values (23)	12945	17.4%

Other Punctuation

Value	Count	Frequency (%)
.	49	86.0%
&	3	5.3%
'	2	3.5%
\	1	1.8%
‡	1	1.8%
/	1	1.8%

Decimal Number

Value	Count	Frequency (%)
5	3	60.0%
7	2	40.0%

Space Separator

Value	Count	Frequency (%)
	5385	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	17	100.0%

Lowercase Letter

Value	Count	Frequency (%)
t	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	74337	93.2%
Common	5464	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	12075	16.2%
R	9518	12.8%
I	7712	10.4%
E	7668	10.3%
N	4976	6.7%
C	4783	6.4%
T	4712	6.3%
S	4211	5.7%
O	3417	4.6%
U	2319	3.1%
Other values (24)	12946	17.4%

Common

Value	Count	Frequency (%)
	5385	98.6%
.	49	0.9%
-	17	0.3%
&	3	0.1%
5	3	0.1%
7	2	< 0.1%
'	2	< 0.1%
\	1	< 0.1%
‡	1	< 0.1%
/	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79767	> 99.9%
None	33	< 0.1%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	12075	15.1%
R	9518	11.9%
I	7712	9.7%
E	7668	9.6%
	5385	6.8%
N	4976	6.2%
C	4783	6.0%
T	4712	5.9%
S	4211	5.3%
O	3417	4.3%
Other values (26)	15310	19.2%

None

Value	Count	Frequency (%)
Á	14	42.4%
Ú	8	24.2%
Ã	4	12.1%
Â	3	9.1%
É	2	6.1%
Ç	1	3.0%
Ó	1	3.0%

Punctuation

Value	Count	Frequency (%)
‡	1	100.0%

aeronave_modelo
Categorical

HIGH CARDINALITY
MISSING

Distinct	737
Distinct (%)	14.1%
Missing	175
Missing (%)	3.2%
Memory size	42.4 KiB

ATR-72-212A	209
ERJ 190-200 IGW	174
EMB-810D	149
152	144
AB-115	140
Other values (732)	4426

Length

Max length	29
Median length	19
Mean length	7.225295689
Min length	2

Characters and Unicode

Total characters	37875
Distinct characters	62
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	353 ?
Unique (%)	6.7%

Sample

1st row	58
2nd row	ATR-42-500
3rd row	EMB-201
4th row	P2004 BRAVO
5th row	EMB-201A

Common Values

Value	Count	Frequency (%)
ATR-72-212A	209	3.9%
ERJ 190-200 IGW	174	3.2%
EMB-810D	149	2.8%
152	144	2.7%
AB-115	140	2.6%
EMB-810C	119	2.2%
EMB-202	95	1.8%
737-8EH	93	1.7%
EMB-201A	93	1.7%
EMB-202A	89	1.6%
Other values (727)	3937	72.7%
(Missing)	175	3.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
erj	248	3.8%
igw	213	3.3%
atr-72-212a	209	3.2%
190-200	175	2.7%
emb-810d	149	2.3%
152	144	2.2%
ab-115	140	2.1%
as	128	2.0%
emb-810c	119	1.8%
350	109	1.7%
Other values (814)	4908	75.0%

Most occurring characters

Value	Count	Frequency (%)
2	4025	10.6%
-	3777	10.0%
0	3473	9.2%
1	3061	8.1%
A	2627	6.9%
B	1774	4.7%
E	1758	4.6%
5	1461	3.9%
3	1373	3.6%
7	1339	3.5%
Other values (52)	13207	34.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17603	46.5%
Uppercase Letter	15121	39.9%
Dash Punctuation	3777	10.0%
Space Separator	1300	3.4%
Lowercase Letter	35	0.1%
Other Punctuation	23	0.1%
Math Symbol	8	< 0.1%
Close Punctuation	4	< 0.1%
Open Punctuation	4	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	2627	17.4%
B	1774	11.7%
E	1758	11.6%
R	1214	8.0%
M	1121	7.4%
T	865	5.7%
C	731	4.8%
P	708	4.7%
S	631	4.2%
I	542	3.6%
Other values (18)	3150	20.8%

Lowercase Letter

Value	Count	Frequency (%)
r	6	17.1%
a	3	8.6%
v	3	8.6%
o	3	8.6%
e	3	8.6%
u	3	8.6%
s	2	5.7%
i	2	5.7%
b	2	5.7%
k	1	2.9%
Other values (7)	7	20.0%

Decimal Number

Value	Count	Frequency (%)
2	4025	22.9%
0	3473	19.7%
1	3061	17.4%
5	1461	8.3%
3	1373	7.8%
7	1339	7.6%
8	1099	6.2%
4	754	4.3%
9	511	2.9%
6	507	2.9%

Other Punctuation

Value	Count	Frequency (%)
/	16	69.6%
.	7	30.4%

Dash Punctuation

Value	Count	Frequency (%)
-	3777	100.0%

Space Separator

Value	Count	Frequency (%)
	1300	100.0%

Math Symbol

Value	Count	Frequency (%)
+	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22719	60.0%
Latin	15156	40.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	2627	17.3%
B	1774	11.7%
E	1758	11.6%
R	1214	8.0%
M	1121	7.4%
T	865	5.7%
C	731	4.8%
P	708	4.7%
S	631	4.2%
I	542	3.6%
Other values (35)	3185	21.0%

Common

Value	Count	Frequency (%)
2	4025	17.7%
-	3777	16.6%
0	3473	15.3%
1	3061	13.5%
5	1461	6.4%
3	1373	6.0%
7	1339	5.9%
	1300	5.7%
8	1099	4.8%
4	754	3.3%
Other values (7)	1057	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37873	> 99.9%
None	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	4025	10.6%
-	3777	10.0%
0	3473	9.2%
1	3061	8.1%
A	2627	6.9%
B	1774	4.7%
E	1758	4.6%
5	1461	3.9%
3	1373	3.6%
7	1339	3.5%
Other values (50)	13205	34.9%

None

Value	Count	Frequency (%)
Á	1	50.0%
É	1	50.0%

aeronave_tipo_icao
Categorical

HIGH CARDINALITY
MISSING

Distinct	229
Distinct (%)	4.5%
Missing	271
Missing (%)	5.0%
Memory size	42.4 KiB

PA34	389
IPAN	312
ULAC	293
E190	229
AT72	204
Other values (224)	3719

Length

Max length	5
Median length	4
Mean length	3.938981733
Min length	2

Characters and Unicode

Total characters	20270
Distinct characters	36
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	1.0%

Sample

1st row	BE58
2nd row	AT45
3rd row	IPAN
4th row	ULAC
5th row	IPAN

Common Values

Value	Count	Frequency (%)
PA34	389	7.2%
IPAN	312	5.8%
ULAC	293	5.4%
E190	229	4.2%
AT72	204	3.8%
A320	150	2.8%
AB11	140	2.6%
C152	140	2.6%
ZZZZ	122	2.3%
AS50	120	2.2%
Other values (219)	3047	56.2%
(Missing)	271	5.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pa34	389	7.6%
ipan	312	6.1%
ulac	293	5.7%
e190	229	4.4%
at72	204	4.0%
a320	150	2.9%
ab11	140	2.7%
c152	140	2.7%
zzzz	122	2.4%
as50	120	2.3%
Other values (220)	3048	59.2%

Most occurring characters

Value	Count	Frequency (%)
A	2442	12.0%
2	1951	9.6%
1	1484	7.3%
P	1417	7.0%
3	1283	6.3%
C	1230	6.1%
0	1221	6.0%
5	990	4.9%
8	866	4.3%
B	862	4.3%
Other values (26)	6524	32.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10243	50.5%
Decimal Number	10026	49.5%
Space Separator	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	2442	23.8%
P	1417	13.8%
C	1230	12.0%
B	862	8.4%
E	719	7.0%
T	508	5.0%
L	507	4.9%
Z	489	4.8%
U	382	3.7%
S	358	3.5%
Other values (15)	1329	13.0%

Decimal Number

Value	Count	Frequency (%)
2	1951	19.5%
1	1484	14.8%
3	1283	12.8%
0	1221	12.2%
5	990	9.9%
8	866	8.6%
7	745	7.4%
4	727	7.3%
9	429	4.3%
6	330	3.3%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10243	50.5%
Common	10027	49.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	2442	23.8%
P	1417	13.8%
C	1230	12.0%
B	862	8.4%
E	719	7.0%
T	508	5.0%
L	507	4.9%
Z	489	4.8%
U	382	3.7%
S	358	3.5%
Other values (15)	1329	13.0%

Common

Value	Count	Frequency (%)
2	1951	19.5%
1	1484	14.8%
3	1283	12.8%
0	1221	12.2%
5	990	9.9%
8	866	8.6%
7	745	7.4%
4	727	7.3%
9	429	4.3%
6	330	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20270	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	2442	12.0%
2	1951	9.6%
1	1484	7.3%
P	1417	7.0%
3	1283	6.3%
C	1230	6.1%
0	1221	6.0%
5	990	4.9%
8	866	4.3%
B	862	4.3%
Other values (26)	6524	32.2%

aeronave_motor_tipo
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	237
Missing (%)	4.4%
Memory size	42.4 KiB

PISTÃO	3013
JATO	978
TURBOÉLICE	695
TURBOEIXO	476
SEM TRAÇÃO	18

Length

Max length	10
Median length	6
Mean length	6.448648649
Min length	4

Characters and Unicode

Total characters	33404
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PISTÃO
2nd row	TURBOÉLICE
3rd row	PISTÃO
4th row	PISTÃO
5th row	PISTÃO

Common Values

Value	Count	Frequency (%)
PISTÃO	3013	55.6%
JATO	978	18.1%
TURBOÉLICE	695	12.8%
TURBOEIXO	476	8.8%
SEM TRAÇÃO	18	0.3%
(Missing)	237	4.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
pistão	3013	58.0%
jato	978	18.8%
turboélice	695	13.4%
turboeixo	476	9.2%
sem	18	0.3%
tração	18	0.3%

Most occurring characters

Value	Count	Frequency (%)
O	5656	16.9%
T	5180	15.5%
I	4184	12.5%
S	3031	9.1%
Ã	3031	9.1%
P	3013	9.0%
E	1189	3.6%
R	1189	3.6%
U	1171	3.5%
B	1171	3.5%
Other values (9)	4589	13.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	33386	99.9%
Space Separator	18	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	5656	16.9%
T	5180	15.5%
I	4184	12.5%
S	3031	9.1%
Ã	3031	9.1%
P	3013	9.0%
E	1189	3.6%
R	1189	3.6%
U	1171	3.5%
B	1171	3.5%
Other values (8)	4571	13.7%

Space Separator

Value	Count	Frequency (%)
	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33386	99.9%
Common	18	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	5656	16.9%
T	5180	15.5%
I	4184	12.5%
S	3031	9.1%
Ã	3031	9.1%
P	3013	9.0%
E	1189	3.6%
R	1189	3.6%
U	1171	3.5%
B	1171	3.5%
Other values (8)	4571	13.7%

Common

Value	Count	Frequency (%)
	18	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29660	88.8%
None	3744	11.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	5656	19.1%
T	5180	17.5%
I	4184	14.1%
S	3031	10.2%
P	3013	10.2%
E	1189	4.0%
R	1189	4.0%
U	1171	3.9%
B	1171	3.9%
A	996	3.4%
Other values (6)	2880	9.7%

None

Value	Count	Frequency (%)
Ã	3031	81.0%
É	695	18.6%
Ç	18	0.5%

aeronave_motor_quantidade
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	94
Missing (%)	1.7%
Memory size	42.4 KiB

MONOMOTOR	2802
BIMOTOR	2277
SEM TRAÇÃO	171
TRIMOTOR	68
QUADRIMOTOR	5

Length

Max length	11
Median length	9
Mean length	8.165696036
Min length	7

Characters and Unicode

Total characters	43466
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BIMOTOR
2nd row	BIMOTOR
3rd row	MONOMOTOR
4th row	MONOMOTOR
5th row	MONOMOTOR

Common Values

Value	Count	Frequency (%)
MONOMOTOR	2802	51.7%
BIMOTOR	2277	42.0%
SEM TRAÇÃO	171	3.2%
TRIMOTOR	68	1.3%
QUADRIMOTOR	5	0.1%
(Missing)	94	1.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
monomotor	2802	51.0%
bimotor	2277	41.4%
sem	171	3.1%
tração	171	3.1%
trimotor	68	1.2%
quadrimotor	5	0.1%

Most occurring characters

Value	Count	Frequency (%)
O	16079	37.0%
M	8125	18.7%
R	5396	12.4%
T	5391	12.4%
N	2802	6.4%
I	2350	5.4%
B	2277	5.2%
A	176	0.4%
S	171	0.4%
E	171	0.4%
Other values (6)	528	1.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	43295	99.6%
Space Separator	171	0.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	16079	37.1%
M	8125	18.8%
R	5396	12.5%
T	5391	12.5%
N	2802	6.5%
I	2350	5.4%
B	2277	5.3%
A	176	0.4%
S	171	0.4%
E	171	0.4%
Other values (5)	357	0.8%

Space Separator

Value	Count	Frequency (%)
	171	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	43295	99.6%
Common	171	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	16079	37.1%
M	8125	18.8%
R	5396	12.5%
T	5391	12.5%
N	2802	6.5%
I	2350	5.4%
B	2277	5.3%
A	176	0.4%
S	171	0.4%
E	171	0.4%
Other values (5)	357	0.8%

Common

Value	Count	Frequency (%)
	171	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43124	99.2%
None	342	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	16079	37.3%
M	8125	18.8%
R	5396	12.5%
T	5391	12.5%
N	2802	6.5%
I	2350	5.4%
B	2277	5.3%
A	176	0.4%
S	171	0.4%
E	171	0.4%
Other values (4)	186	0.4%

None

Value	Count	Frequency (%)
Ç	171	50.0%
Ã	171	50.0%

aeronave_pmd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	459
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14432.68599

Minimum	0
Maximum	396895
Zeros	241
Zeros (%)	4.4%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	408
Q1	1157
median	1968
Q3	5307
95-th percentile	77000
Maximum	396895
Range	396895
Interquartile range (IQR)	4150

Descriptive statistics

Standard deviation	33659.10235
Coefficient of variation (CV)	2.332144022
Kurtosis	34.26910004
Mean	14432.68599
Median Absolute Deviation (MAD)	1211
Skewness	4.841505879
Sum	78181860
Variance	1132935171
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	300	5.5%
0	241	4.4%
2155	212	3.9%
52290	175	3.2%
1633	165	3.0%
2073	140	2.6%
770	140	2.6%
23000	133	2.5%
757	117	2.2%
1542	110	2.0%
Other values (449)	3684	68.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	241	4.4%
35	1	< 0.1%
208	1	< 0.1%
250	3	0.1%
280	2	< 0.1%
300	1	< 0.1%
308	1	< 0.1%
340	1	< 0.1%
342	1	< 0.1%
352	1	< 0.1%

Value	Count	Frequency (%)
396895	1	< 0.1%
385553	1	< 0.1%
380790	1	< 0.1%
351534	1	< 0.1%
346544	7	0.1%
285990	4	0.1%
263080	1	< 0.1%
256280	1	< 0.1%
253000	1	< 0.1%
247200	1	< 0.1%

aeronave_pmd_categoria
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	459
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14432.68599

Minimum	0
Maximum	396895
Zeros	241
Zeros (%)	4.4%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	408
Q1	1157
median	1968
Q3	5307
95-th percentile	77000
Maximum	396895
Range	396895
Interquartile range (IQR)	4150

Descriptive statistics

Standard deviation	33659.10235
Coefficient of variation (CV)	2.332144022
Kurtosis	34.26910004
Mean	14432.68599
Median Absolute Deviation (MAD)	1211
Skewness	4.841505879
Sum	78181860
Variance	1132935171
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	300	5.5%
0	241	4.4%
2155	212	3.9%
52290	175	3.2%
1633	165	3.0%
2073	140	2.6%
770	140	2.6%
23000	133	2.5%
757	117	2.2%
1542	110	2.0%
Other values (449)	3684	68.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	241	4.4%
35	1	< 0.1%
208	1	< 0.1%
250	3	0.1%
280	2	< 0.1%
300	1	< 0.1%
308	1	< 0.1%
340	1	< 0.1%
342	1	< 0.1%
352	1	< 0.1%

Value	Count	Frequency (%)
396895	1	< 0.1%
385553	1	< 0.1%
380790	1	< 0.1%
351534	1	< 0.1%
346544	7	0.1%
285990	4	0.1%
263080	1	< 0.1%
256280	1	< 0.1%
253000	1	< 0.1%
247200	1	< 0.1%

aeronave_assentos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	86
Distinct (%)	1.6%
Missing	199
Missing (%)	3.7%
Infinite	0
Infinite (%)	0.0%
Mean	26.72729015

Minimum	0
Maximum	384
Zeros	258
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	6
Q3	10
95-th percentile	172
Maximum	384
Range	384
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	53.80916901
Coefficient of variation (CV)	2.013266916
Kurtosis	6.249536922
Mean	26.72729015
Median Absolute Deviation (MAD)	4
Skewness	2.530606815
Sum	139463
Variance	2895.426669
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	900	16.6%
2	806	14.9%
4	626	11.6%
1	579	10.7%
7	314	5.8%
0	258	4.8%
125	171	3.2%
8	165	3.0%
10	139	2.6%
11	129	2.4%
Other values (76)	1131	20.9%
(Missing)	199	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	258	4.8%
1	579	10.7%
2	806	14.9%
3	70	1.3%
4	626	11.6%
5	114	2.1%
6	900	16.6%
7	314	5.8%
8	165	3.0%
9	50	0.9%

Value	Count	Frequency (%)
384	5	0.1%
382	2	< 0.1%
312	1	< 0.1%
288	2	< 0.1%
284	2	< 0.1%
278	2	< 0.1%
258	1	< 0.1%
243	1	< 0.1%
242	1	< 0.1%
240	4	0.1%

aeronave_ano_fabricacao
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	78
Distinct (%)	1.6%
Missing	520
Missing (%)	9.6%
Infinite	0
Infinite (%)	0.0%
Mean	1993.702062

Minimum	1936
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	1936
5-th percentile	1969
Q1	1980
median	1996
Q3	2009
95-th percentile	2013
Maximum	2020
Range	84
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	15.8722452
Coefficient of variation (CV)	0.007961192146
Kurtosis	-0.7836127684
Mean	1993.702062
Median Absolute Deviation (MAD)	14
Skewness	-0.4209224121
Sum	9763159
Variance	251.9281677
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2012	257	4.7%
2010	235	4.3%
2011	231	4.3%
2009	201	3.7%
2008	189	3.5%
1980	180	3.3%
2007	176	3.2%
2013	171	3.2%
1979	141	2.6%
1977	134	2.5%
Other values (68)	2982	55.0%
(Missing)	520	9.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1936	1	< 0.1%
1940	1	< 0.1%
1945	2	< 0.1%
1946	10	0.2%
1947	7	0.1%
1948	5	0.1%
1949	1	< 0.1%
1950	15	0.3%
1951	5	0.1%
1952	3	0.1%

Value	Count	Frequency (%)
2020	3	0.1%
2019	12	0.2%
2018	18	0.3%
2017	21	0.4%
2016	34	0.6%
2015	44	0.8%
2014	35	0.6%
2013	171	3.2%
2012	257	4.7%
2011	231	4.3%

aeronave_registro_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.2%
Missing	159
Missing (%)	2.9%
Memory size	42.4 KiB

AVIÃO	4346
HELICÓPTERO	556
ULTRALEVE	316
PLANADOR	18
ANFÍBIO	13
Other values (4)	9

Length

Max length	11
Median length	5
Mean length	5.892544694
Min length	5

Characters and Unicode

Total characters	30983
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	ULTRALEVE
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	4346	80.2%
HELICÓPTERO	556	10.3%
ULTRALEVE	316	5.8%
PLANADOR	18	0.3%
ANFÍBIO	13	0.2%
TRIKE	5	0.1%
DIRIGÍVEL	2	< 0.1%
BALÃO	1	< 0.1%
HIDROAVIÃO	1	< 0.1%
(Missing)	159	2.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
avião	4346	82.7%
helicóptero	556	10.6%
ultraleve	316	6.0%
planador	18	0.3%
anfíbio	13	0.2%
trike	5	0.1%
dirigível	2	< 0.1%
balão	1	< 0.1%
hidroavião	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
O	4936	15.9%
I	4926	15.9%
A	4713	15.2%
V	4665	15.1%
Ã	4348	14.0%
E	1751	5.7%
L	1209	3.9%
R	898	2.9%
T	877	2.8%
P	574	1.9%
Other values (11)	2086	6.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	30983	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	4936	15.9%
I	4926	15.9%
A	4713	15.2%
V	4665	15.1%
Ã	4348	14.0%
E	1751	5.7%
L	1209	3.9%
R	898	2.9%
T	877	2.8%
P	574	1.9%
Other values (11)	2086	6.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30983	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	4936	15.9%
I	4926	15.9%
A	4713	15.2%
V	4665	15.1%
Ã	4348	14.0%
E	1751	5.7%
L	1209	3.9%
R	898	2.9%
T	877	2.8%
P	574	1.9%
Other values (11)	2086	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26064	84.1%
None	4919	15.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	4936	18.9%
I	4926	18.9%
A	4713	18.1%
V	4665	17.9%
E	1751	6.7%
L	1209	4.6%
R	898	3.4%
T	877	3.4%
P	574	2.2%
H	557	2.1%
Other values (8)	958	3.7%

None

Value	Count	Frequency (%)
Ã	4348	88.4%
Ó	556	11.3%
Í	15	0.3%

aeronave_registro_segmento
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.2%
Missing	73
Missing (%)	1.3%
Memory size	42.4 KiB

PARTICULAR	1729
REGULAR	1063
INSTRUÇÃO	736
TÁXI AÉREO	643
EXPERIMENTAL	444
Other values (7)	729

Length

Max length	22
Median length	20
Mean length	9.706212575
Min length	7

Characters and Unicode

Total characters	51870
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PARTICULAR
2nd row	REGULAR
3rd row	ESPECIALIZADA
4th row	EXPERIMENTAL
5th row	ESPECIALIZADA

Common Values

Value	Count	Frequency (%)
PARTICULAR	1729	31.9%
REGULAR	1063	19.6%
INSTRUÇÃO	736	13.6%
TÁXI AÉREO	643	11.9%
EXPERIMENTAL	444	8.2%
AGRÍCOLA	371	6.8%
ADMINISTRAÇÃO DIRETA	188	3.5%
ESPECIALIZADA	101	1.9%
MÚLTIPLA	32	0.6%
NÃO REGULAR	31	0.6%
Other values (2)	6	0.1%
(Missing)	73	1.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
particular	1729	27.8%
regular	1094	17.6%
instrução	736	11.8%
táxi	643	10.4%
aéreo	643	10.4%
experimental	444	7.1%
agrícola	371	6.0%
administração	193	3.1%
direta	188	3.0%
especializada	101	1.6%
Other values (4)	69	1.1%

Most occurring characters

Value	Count	Frequency (%)
R	8227	15.9%
A	7296	14.1%
I	4372	8.4%
T	3971	7.7%
L	3803	7.3%
U	3559	6.9%
E	3464	6.7%
P	2306	4.4%
C	2202	4.2%
O	1974	3.8%
Other values (16)	10696	20.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	51003	98.3%
Space Separator	867	1.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	8227	16.1%
A	7296	14.3%
I	4372	8.6%
T	3971	7.8%
L	3803	7.5%
U	3559	7.0%
E	3464	6.8%
P	2306	4.5%
C	2202	4.3%
O	1974	3.9%
Other values (15)	9829	19.3%

Space Separator

Value	Count	Frequency (%)
	867	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	51003	98.3%
Common	867	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	8227	16.1%
A	7296	14.3%
I	4372	8.6%
T	3971	7.8%
L	3803	7.5%
U	3559	7.0%
E	3464	6.8%
P	2306	4.5%
C	2202	4.3%
O	1974	3.9%
Other values (15)	9829	19.3%

Common

Value	Count	Frequency (%)
	867	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48291	93.1%
None	3579	6.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	8227	17.0%
A	7296	15.1%
I	4372	9.1%
T	3971	8.2%
L	3803	7.9%
U	3559	7.4%
E	3464	7.2%
P	2306	4.8%
C	2202	4.6%
O	1974	4.1%
Other values (9)	7117	14.7%

None

Value	Count	Frequency (%)
Ã	960	26.8%
Ç	929	26.0%
Á	643	18.0%
É	643	18.0%
Í	371	10.4%
Ú	32	0.9%
Ó	1	< 0.1%

aeronave_voo_origem
Categorical

HIGH CARDINALITY
MISSING

Distinct	677
Distinct (%)	13.0%
Missing	204
Missing (%)	3.8%
Memory size	42.4 KiB

FORA DE AERODROMO	1915
CAMPO DE MARTE	104
VIRACOPOS	102
GOVERNADOR ANDRÉ FRANCO MONTORO	101
CONGONHAS	73
Other values (672)	2918

Length

Max length	63
Median length	50
Mean length	17.83982352
Min length	3

Characters and Unicode

Total characters	92999
Distinct characters	70
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	327 ?
Unique (%)	6.3%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	1915	35.4%
CAMPO DE MARTE	104	1.9%
VIRACOPOS	102	1.9%
GOVERNADOR ANDRÉ FRANCO MONTORO	101	1.9%
CONGONHAS	73	1.3%
CARLOS DRUMMOND DE ANDRADE / PAMPULHA	70	1.3%
PRESIDENTE JUSCELINO KUBITSCHEK	65	1.2%
AEROPORTO ESTADUAL DE JUNDIAÍ	64	1.2%
SANTA GENOVEVA/GOIÂNIA	58	1.1%
BACACHERI	55	1.0%
Other values (667)	2606	48.1%
(Missing)	204	3.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2563	17.6%
aerodromo	1917	13.2%
fora	1915	13.2%
	235	1.6%
governador	176	1.2%
carlos	144	1.0%
campo	137	0.9%
fazenda	134	0.9%
estadual	126	0.9%
santa	113	0.8%
Other values (959)	7093	48.7%

Most occurring characters

Value	Count	Frequency (%)
O	13568	14.6%
A	11132	12.0%
R	10719	11.5%
	9358	10.1%
E	8920	9.6%
D	6779	7.3%
M	3610	3.9%
N	3271	3.5%
I	3216	3.5%
S	2983	3.2%
Other values (60)	19443	20.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	83044	89.3%
Space Separator	9358	10.1%
Other Punctuation	259	0.3%
Lowercase Letter	168	0.2%
Dash Punctuation	119	0.1%
Decimal Number	39	< 0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	13568	16.3%
A	11132	13.4%
R	10719	12.9%
E	8920	10.7%
D	6779	8.2%
M	3610	4.3%
N	3271	3.9%
I	3216	3.9%
S	2983	3.6%
F	2522	3.0%
Other values (27)	16324	19.7%

Lowercase Letter

Value	Count	Frequency (%)
o	24	14.3%
r	19	11.3%
a	17	10.1%
e	15	8.9%
c	14	8.3%
n	13	7.7%
s	13	7.7%
t	12	7.1%
i	12	7.1%
l	8	4.8%
Other values (9)	21	12.5%

Decimal Number

Value	Count	Frequency (%)
1	17	43.6%
4	15	38.5%
2	3	7.7%
5	2	5.1%
3	2	5.1%

Other Punctuation

Value	Count	Frequency (%)
/	238	91.9%
.	14	5.4%
*	6	2.3%
'	1	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	117	98.3%
–	2	1.7%

Space Separator

Value	Count	Frequency (%)
	9358	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	83212	89.5%
Common	9787	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	13568	16.3%
A	11132	13.4%
R	10719	12.9%
E	8920	10.7%
D	6779	8.1%
M	3610	4.3%
N	3271	3.9%
I	3216	3.9%
S	2983	3.6%
F	2522	3.0%
Other values (46)	16492	19.8%

Common

Value	Count	Frequency (%)
	9358	95.6%
/	238	2.4%
-	117	1.2%
1	17	0.2%
4	15	0.2%
.	14	0.1%
(	6	0.1%
*	6	0.1%
)	6	0.1%
2	3	< 0.1%
Other values (4)	7	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91479	98.4%
None	1518	1.6%
Punctuation	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	13568	14.8%
A	11132	12.2%
R	10719	11.7%
	9358	10.2%
E	8920	9.8%
D	6779	7.4%
M	3610	3.9%
N	3271	3.6%
I	3216	3.5%
S	2983	3.3%
Other values (46)	17923	19.6%

None

Value	Count	Frequency (%)
Ã	320	21.1%
É	288	19.0%
Í	262	17.3%
Á	232	15.3%
Â	111	7.3%
Ó	99	6.5%
Ç	89	5.9%
Ú	75	4.9%
Ô	20	1.3%
Ê	12	0.8%
Other values (3)	10	0.7%

Punctuation

Value	Count	Frequency (%)
–	2	100.0%

aeronave_voo_destino
Categorical

HIGH CARDINALITY
MISSING

Distinct	674
Distinct (%)	12.9%
Missing	196
Missing (%)	3.6%
Memory size	42.4 KiB

FORA DE AERODROMO	1990
CAMPO DE MARTE	113
GOVERNADOR ANDRÉ FRANCO MONTORO	99
CONGONHAS	70
VIRACOPOS	65
Other values (669)	2884

Length

Max length	50
Median length	46
Mean length	17.71308179
Min length	3

Characters and Unicode

Total characters	92480
Distinct characters	74
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	341 ?
Unique (%)	6.5%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	1990	36.7%
CAMPO DE MARTE	113	2.1%
GOVERNADOR ANDRÉ FRANCO MONTORO	99	1.8%
CONGONHAS	70	1.3%
VIRACOPOS	65	1.2%
PRESIDENTE JUSCELINO KUBITSCHEK	61	1.1%
BACACHERI	57	1.1%
SANTOS DUMONT	54	1.0%
AEROPORTO ESTADUAL DE JUNDIAÍ	53	1.0%
CARLOS DRUMMOND DE ANDRADE / PAMPULHA	49	0.9%
Other values (664)	2610	48.2%
(Missing)	196	3.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2629	18.1%
aerodromo	1991	13.7%
fora	1990	13.7%
	200	1.4%
governador	171	1.2%
campo	158	1.1%
fazenda	138	1.0%
carlos	131	0.9%
estadual	123	0.8%
marte	114	0.8%
Other values (925)	6877	47.4%

Most occurring characters

Value	Count	Frequency (%)
O	13787	14.9%
A	11075	12.0%
R	10845	11.7%
	9321	10.1%
E	8997	9.7%
D	6843	7.4%
M	3654	4.0%
N	3216	3.5%
I	3078	3.3%
S	2870	3.1%
Other values (64)	18794	20.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	82690	89.4%
Space Separator	9321	10.1%
Other Punctuation	207	0.2%
Dash Punctuation	117	0.1%
Lowercase Letter	84	0.1%
Decimal Number	47	0.1%
Open Punctuation	7	< 0.1%
Close Punctuation	7	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	13787	16.7%
A	11075	13.4%
R	10845	13.1%
E	8997	10.9%
D	6843	8.3%
M	3654	4.4%
N	3216	3.9%
I	3078	3.7%
S	2870	3.5%
F	2584	3.1%
Other values (27)	15741	19.0%

Lowercase Letter

Value	Count	Frequency (%)
o	12	14.3%
a	9	10.7%
r	8	9.5%
i	7	8.3%
s	7	8.3%
e	7	8.3%
c	6	7.1%
t	4	4.8%
u	4	4.8%
d	3	3.6%
Other values (10)	17	20.2%

Decimal Number

Value	Count	Frequency (%)
1	17	36.2%
4	16	34.0%
3	4	8.5%
5	3	6.4%
6	2	4.3%
0	2	4.3%
7	2	4.3%
2	1	2.1%

Other Punctuation

Value	Count	Frequency (%)
/	187	90.3%
*	7	3.4%
'	7	3.4%
.	6	2.9%

Dash Punctuation

Value	Count	Frequency (%)
-	116	99.1%
–	1	0.9%

Space Separator

Value	Count	Frequency (%)
	9321	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	82774	89.5%
Common	9706	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	13787	16.7%
A	11075	13.4%
R	10845	13.1%
E	8997	10.9%
D	6843	8.3%
M	3654	4.4%
N	3216	3.9%
I	3078	3.7%
S	2870	3.5%
F	2584	3.1%
Other values (47)	15825	19.1%

Common

Value	Count	Frequency (%)
	9321	96.0%
/	187	1.9%
-	116	1.2%
1	17	0.2%
4	16	0.2%
(	7	0.1%
*	7	0.1%
)	7	0.1%
'	7	0.1%
.	6	0.1%
Other values (7)	15	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91092	98.5%
None	1387	1.5%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	13787	15.1%
A	11075	12.2%
R	10845	11.9%
	9321	10.2%
E	8997	9.9%
D	6843	7.5%
M	3654	4.0%
N	3216	3.5%
I	3078	3.4%
S	2870	3.2%
Other values (49)	17406	19.1%

None

Value	Count	Frequency (%)
Ã	317	22.9%
É	280	20.2%
Í	212	15.3%
Á	193	13.9%
Ó	117	8.4%
Ç	89	6.4%
Â	75	5.4%
Ú	60	4.3%
Ô	26	1.9%
Ê	11	0.8%
Other values (4)	7	0.5%

Punctuation

Value	Count	Frequency (%)
–	1	100.0%

aeronave_fase_operacao
Categorical

HIGH CORRELATION

Distinct	31
Distinct (%)	0.6%
Missing	26
Missing (%)	0.5%
Memory size	42.4 KiB

POUSO	917
DECOLAGEM	883
CRUZEIRO	831
CORRIDA APÓS POUSO	616
TÁXI	390
Other values (26)	1754

Length

Max length	31
Median length	21
Mean length	9.736783528
Min length	4

Characters and Unicode

Total characters	52491
Distinct characters	30
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	POUSO
2nd row	DESCIDA
3rd row	ESPECIALIZADA
4th row	CRUZEIRO
5th row	POUSO

Common Values

Value	Count	Frequency (%)
POUSO	917	16.9%
DECOLAGEM	883	16.3%
CRUZEIRO	831	15.3%
CORRIDA APÓS POUSO	616	11.4%
TÁXI	390	7.2%
SUBIDA	378	7.0%
APROXIMAÇÃO FINAL	292	5.4%
MANOBRA	235	4.3%
ESPECIALIZADA	139	2.6%
DESCIDA	138	2.5%
Other values (21)	572	10.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pouso	1533	19.9%
decolagem	896	11.6%
cruzeiro	831	10.8%
corrida	616	8.0%
após	616	8.0%
táxi	390	5.1%
subida	378	4.9%
aproximação	309	4.0%
final	303	3.9%
manobra	235	3.1%
Other values (39)	1590	20.7%

Most occurring characters

Value	Count	Frequency (%)
O	7171	13.7%
A	5488	10.5%
R	4183	8.0%
I	3937	7.5%
E	3923	7.5%
S	3010	5.7%
U	2974	5.7%
C	2961	5.6%
D	2810	5.4%
P	2686	5.1%
Other values (20)	13348	25.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	50185	95.6%
Space Separator	2306	4.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	7171	14.3%
A	5488	10.9%
R	4183	8.3%
I	3937	7.8%
E	3923	7.8%
S	3010	6.0%
U	2974	5.9%
C	2961	5.9%
D	2810	5.6%
P	2686	5.4%
Other values (19)	11042	22.0%

Space Separator

Value	Count	Frequency (%)
	2306	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50185	95.6%
Common	2306	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	7171	14.3%
A	5488	10.9%
R	4183	8.3%
I	3937	7.8%
E	3923	7.8%
S	3010	6.0%
U	2974	5.9%
C	2961	5.9%
D	2810	5.6%
P	2686	5.4%
Other values (19)	11042	22.0%

Common

Value	Count	Frequency (%)
	2306	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50696	96.6%
None	1795	3.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	7171	14.1%
A	5488	10.8%
R	4183	8.3%
I	3937	7.8%
E	3923	7.7%
S	3010	5.9%
U	2974	5.9%
C	2961	5.8%
D	2810	5.5%
P	2686	5.3%
Other values (14)	11553	22.8%

None

Value	Count	Frequency (%)
Ó	616	34.3%
Á	497	27.7%
Ç	335	18.7%
Ã	334	18.6%
Í	10	0.6%
Ê	3	0.2%

aeronave_tipo_operacao
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.2%
Missing	148
Missing (%)	2.7%
Memory size	42.4 KiB

PRIVADA	1867
REGULAR	1059
INSTRUÇÃO	702
TÁXI AÉREO	617
AGRÍCOLA	514
Other values (4)	510

Length

Max length	13
Median length	7
Mean length	8.086164358
Min length	7

Characters and Unicode

Total characters	42606
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PRIVADA
2nd row	REGULAR
3rd row	AGRÍCOLA
4th row	EXPERIMENTAL
5th row	AGRÍCOLA

Common Values

Value	Count	Frequency (%)
PRIVADA	1867	34.5%
REGULAR	1059	19.5%
INSTRUÇÃO	702	13.0%
TÁXI AÉREO	617	11.4%
AGRÍCOLA	514	9.5%
EXPERIMENTAL	238	4.4%
POLICIAL	148	2.7%
NÃO REGULAR	64	1.2%
ESPECIALIZADA	60	1.1%
(Missing)	148	2.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
privada	1867	31.4%
regular	1123	18.9%
instrução	702	11.8%
táxi	617	10.4%
aéreo	617	10.4%
agrícola	514	8.6%
experimental	238	4.0%
policial	148	2.5%
não	64	1.1%
especializada	60	1.0%

Most occurring characters

Value	Count	Frequency (%)
A	7068	16.6%
R	6184	14.5%
I	3840	9.0%
E	2574	6.0%
P	2313	5.4%
L	2231	5.2%
O	2045	4.8%
D	1927	4.5%
V	1867	4.4%
U	1825	4.3%
Other values (14)	10732	25.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	41925	98.4%
Space Separator	681	1.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	7068	16.9%
R	6184	14.8%
I	3840	9.2%
E	2574	6.1%
P	2313	5.5%
L	2231	5.3%
O	2045	4.9%
D	1927	4.6%
V	1867	4.5%
U	1825	4.4%
Other values (13)	10051	24.0%

Space Separator

Value	Count	Frequency (%)
	681	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41925	98.4%
Common	681	1.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	7068	16.9%
R	6184	14.8%
I	3840	9.2%
E	2574	6.1%
P	2313	5.5%
L	2231	5.3%
O	2045	4.9%
D	1927	4.6%
V	1867	4.5%
U	1825	4.4%
Other values (13)	10051	24.0%

Common

Value	Count	Frequency (%)
	681	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39390	92.5%
None	3216	7.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	7068	17.9%
R	6184	15.7%
I	3840	9.7%
E	2574	6.5%
P	2313	5.9%
L	2231	5.7%
O	2045	5.2%
D	1927	4.9%
V	1867	4.7%
U	1825	4.6%
Other values (9)	7516	19.1%

None

Value	Count	Frequency (%)
Ã	766	23.8%
Ç	702	21.8%
Á	617	19.2%
É	617	19.2%
Í	514	16.0%

aeronave_nivel_dano
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	49
Missing (%)	0.9%
Memory size	42.4 KiB

NENHUM	1898
SUBSTANCIAL	1601
LEVE	1554
DESTRUÍDA	315

Length

Max length	11
Median length	9
Mean length	7.088301043
Min length	4

Characters and Unicode

Total characters	38050
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LEVE
2nd row	NENHUM
3rd row	SUBSTANCIAL
4th row	LEVE
5th row	SUBSTANCIAL

Common Values

Value	Count	Frequency (%)
NENHUM	1898	35.0%
SUBSTANCIAL	1601	29.6%
LEVE	1554	28.7%
DESTRUÍDA	315	5.8%
(Missing)	49	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nenhum	1898	35.4%
substancial	1601	29.8%
leve	1554	28.9%
destruída	315	5.9%

Most occurring characters

Value	Count	Frequency (%)
N	5397	14.2%
E	5321	14.0%
U	3814	10.0%
S	3517	9.2%
A	3517	9.2%
L	3155	8.3%
T	1916	5.0%
H	1898	5.0%
M	1898	5.0%
B	1601	4.2%
Other values (6)	6016	15.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	38050	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	5397	14.2%
E	5321	14.0%
U	3814	10.0%
S	3517	9.2%
A	3517	9.2%
L	3155	8.3%
T	1916	5.0%
H	1898	5.0%
M	1898	5.0%
B	1601	4.2%
Other values (6)	6016	15.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38050	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	5397	14.2%
E	5321	14.0%
U	3814	10.0%
S	3517	9.2%
A	3517	9.2%
L	3155	8.3%
T	1916	5.0%
H	1898	5.0%
M	1898	5.0%
B	1601	4.2%
Other values (6)	6016	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37735	99.2%
None	315	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	5397	14.3%
E	5321	14.1%
U	3814	10.1%
S	3517	9.3%
A	3517	9.3%
L	3155	8.4%
T	1916	5.1%
H	1898	5.0%
M	1898	5.0%
B	1601	4.2%
Other values (5)	5701	15.1%

None

Value	Count	Frequency (%)
Í	315	100.0%

aeronave_fatalidades_total
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1456525752

Minimum	0
Maximum	10
Zeros	5015
Zeros (%)	92.6%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6474127748
Coefficient of variation (CV)	4.444911282
Kurtosis	52.5966278
Mean	0.1456525752
Median Absolute Deviation (MAD)	0
Skewness	6.433938698
Sum	789
Variance	0.419143301
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	5015	92.6%
1	209	3.9%
2	112	2.1%
3	25	0.5%
4	24	0.4%
5	20	0.4%
6	5	0.1%
8	3	0.1%
7	3	0.1%
10	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5015	92.6%
1	209	3.9%
2	112	2.1%
3	25	0.5%
4	24	0.4%
5	20	0.4%
6	5	0.1%
7	3	0.1%
8	3	0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
8	3	0.1%
7	3	0.1%
6	5	0.1%
5	20	0.4%
4	24	0.4%
3	25	0.5%
2	112	2.1%
1	209	3.9%
0	5015	92.6%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	investigacao_aeronave_liberada	investigacao_status	divulgacao_relatorio_publicado	total_recomendacoes	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_DT	ocorrencia_mes	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano
0	INCIDENTE	PORTO ALEGRE - RS	RS	SBPA	05/01/2012	20:27:00	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	2012-05-01 20:27:00	5.0	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PRCDL	PARTICULAR	AVIÃO	RAYTHEON AIRCRAFT	58	BE58	PISTÃO	BIMOTOR	2495	2495	6.0	2003.0	AVIÃO	PARTICULAR	FORA DE AERODROMO	FORA DE AERODROMO	POUSO	PRIVADA	LEVE
1	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM
2	ACIDENTE	VIAMÃO - RS	RS	NaN	06/01/2012	13:00:00	NaN	FINALIZADA	SIM	0	1	NÃO	NaN	2012-06-01 13:00:00	6.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PTGOO	NaN	AVIÃO	NEIVA INDUSTRIA AERONAUTICA	EMB-201	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	1976.0	AVIÃO	ESPECIALIZADA	FORA DE AERODROMO	FORA DE AERODROMO	ESPECIALIZADA	AGRÍCOLA	SUBSTANCIAL
3	ACIDENTE	SÃO SEBASTIÃO - SP	SP	NaN	06/01/2012	17:00:00	NaN	NaN	NÃO	0	1	NÃO	NaN	2012-06-01 17:00:00	6.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PUUSS	EXPERIMENTAL	ULTRALEVE	NaN	P2004 BRAVO	ULAC	PISTÃO	MONOMOTOR	580	580	2.0	2007.0	ULTRALEVE	EXPERIMENTAL	FORA DE AERODROMO	FORA DE AERODROMO	CRUZEIRO	EXPERIMENTAL	LEVE
4	ACIDENTE	SÃO SEPÉ - RS	RS	NaN	06/01/2012	16:30:00	SIM	FINALIZADA	SIM	0	1	NÃO	NaN	2012-06-01 16:30:00	6.0	PERDA DE CONTROLE NO SOLO	PERDA DE CONTROLE NO SOLO	LOC-G	PTUCL	NaN	AVIÃO	NEIVA INDUSTRIA AERONAUTICA	EMB-201A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	1986.0	AVIÃO	ESPECIALIZADA	FORA DE AERODROMO	FORA DE AERODROMO	POUSO	AGRÍCOLA	SUBSTANCIAL
5	INCIDENTE	UBATUBA - SP	SP	NaN	06/01/2012	14:30:00	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	2012-06-01 14:30:00	6.0	COLISÃO COM AVE	COLISÃO COM AVE	BIRD	PRBGF	PARTICULAR	HELICÓPTERO	EUROCOPTER FRANCE	EC 120 B	EC20	TURBOEIXO	MONOMOTOR	1715	1715	5.0	2000.0	HELICÓPTERO	PARTICULAR	FORA DE AERODROMO	FORA DE AERODROMO	CRUZEIRO	PRIVADA	LEVE
6	INCIDENTE GRAVE	CAMPINAS - SP	SP	SDAI	07/01/2012	18:15:00	SIM	FINALIZADA	SIM	0	1	NÃO	NaN	2012-07-01 18:15:00	7.0	PERDA DE CONTROLE NO SOLO	PERDA DE CONTROLE NO SOLO	LOC-G	PTKYP	NaN	AVIÃO	CIA AERONAUTICA PAULISTA	CAP-4	PAUL	PISTÃO	MONOMOTOR	587	587	2.0	1940.0	AVIÃO	INSTRUÇÃO	FORA DE AERODROMO	FORA DE AERODROMO	DECOLAGEM	INSTRUÇÃO	SUBSTANCIAL
7	INCIDENTE	BELÉM - PA	PA	SBBE	08/01/2012	19:12:00	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	2012-08-01 19:12:00	8.0	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PRMHX	REGULAR	AVIÃO	AIRBUS INDUSTRIE	A320-214	A320	JATO	BIMOTOR	77000	77000	184.0	2008.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	CORRIDA APÓS POUSO	REGULAR	LEVE
8	ACIDENTE	CONCEIÇÃO DAS ALAGOAS - MG	MG	NaN	08/01/2012	16:00:00	NaN	FINALIZADA	NÃO	0	1	NÃO	-19.9133333333 / -48.2930555556	2012-08-01 16:00:00	8.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PTLUP	PARTICULAR	AVIÃO	CESSNA AIRCRAFT	P210N	P210	PISTÃO	MONOMOTOR	1812	1812	6.0	1982.0	AVIÃO	PARTICULAR	FORA DE AERODROMO	FORA DE AERODROMO	CRUZEIRO	PRIVADA	SUBSTANCIAL
9	INCIDENTE	UBERLÂNDIA - MG	MG	SBUL	08/01/2012	22:13:00	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	2012-08-01 22:13:00	8.0	COM TREM DE POUSO	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	SCF-NP	PRZRB	EXPERIMENTAL	AVIÃO	JOSE ROBERTO BARBOSA	BUMERANGUE EX-27 CROSS-CONTRY	ZZZZ	PISTÃO	MONOMOTOR	1260	1260	4.0	2011.0	AVIÃO	EXPERIMENTAL	FORA DE AERODROMO	FORA DE AERODROMO	POUSO	EXPERIMENTAL	LEVE

Last rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	investigacao_aeronave_liberada	investigacao_status	divulgacao_relatorio_publicado	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_DT	ocorrencia_mes	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano
5407	INCIDENTE	MANAUS - AM	AM	SBEG	30/12/2021	14:41:00	SIM	FINALIZADA	NÃO	1	NÃO	-3.04111111 / -60.05055556	2021-12-30 14:41:00	12.0	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PTOCV	NaN	AVIÃO	EMBRAER	EMB-110P1	E110	TURBOÉLICE	BIMOTOR	5670	5670	21.0	1981.0	AVIÃO	TÁXI AÉREO	CARAUARI	EDUARDO GOMES	CORRIDA APÓS POUSO	TÁXI AÉREO	LEVE
5408	INCIDENTE	SÃO PAULO - SP	SP	SBSP	30/12/2021	13:15:00	SIM	FINALIZADA	NÃO	1	SIM	-23.626111 / -46.656389	2021-12-30 13:15:00	12.0	COM TREM DE POUSO	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	SCF-NP	PPAFP	NaN	AVIÃO	CESSNA AIRCRAFT	208B	C208	TURBOÉLICE	MONOMOTOR	3969	3969	7.0	2013.0	AVIÃO	PARTICULAR	CONGONHAS	DOUTOR RAMALHO FRANCO	TÁXI	PRIVADA	NENHUM
5409	INCIDENTE	SÃO PAULO - SP	SP	SBSP	30/12/2021	13:15:00	SIM	FINALIZADA	NÃO	1	SIM	-23.626111 / -46.656389	2021-12-30 13:15:00	12.0	EXCURSÃO DE PISTA	EXCURSÃO DE PISTA	RE	PPAFP	NaN	AVIÃO	CESSNA AIRCRAFT	208B	C208	TURBOÉLICE	MONOMOTOR	3969	3969	7.0	2013.0	AVIÃO	PARTICULAR	CONGONHAS	DOUTOR RAMALHO FRANCO	TÁXI	PRIVADA	NENHUM
5410	ACIDENTE	JATAÍ - GO	GO	NaN	30/12/2021	20:30:00	SIM	ATIVA	NÃO	1	NÃO	-17.999194 / -51.642861	2021-12-30 20:30:00	12.0	EXCURSÃO DE PISTA	EXCURSÃO DE PISTA	RE	PTWBA	NaN	AVIÃO	EMBRAER	EMB-202A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2013.0	AVIÃO	PARTICULAR	PISTA DE POUSO EVENTUAL	PISTA DE POUSO EVENTUAL	DECOLAGEM	AGRÍCOLA	SUBSTANCIAL
5411	ACIDENTE	JATAÍ - GO	GO	NaN	30/12/2021	20:30:00	SIM	ATIVA	NÃO	1	NÃO	-17.999194 / -51.642861	2021-12-30 20:30:00	12.0	PERDA DE CONTROLE NO SOLO	PERDA DE CONTROLE NO SOLO	LOC-G	PTWBA	NaN	AVIÃO	EMBRAER	EMB-202A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2013.0	AVIÃO	PARTICULAR	PISTA DE POUSO EVENTUAL	PISTA DE POUSO EVENTUAL	DECOLAGEM	AGRÍCOLA	SUBSTANCIAL
5412	ACIDENTE	MARACAÍ - SP	SP	NaN	31/12/2021	09:30:00	SIM	ATIVA	NÃO	1	NÃO	-22.585556 / -50.753889	2021-12-31 09:30:00	12.0	OPERAÇÃO A BAIXA ALTITUDE	OPERAÇÃO A BAIXA ALTITUDE	LALT	PRVPR	NaN	AVIÃO	AIR TRACTOR	AT-502B	AT5T	TURBOÉLICE	MONOMOTOR	3629	3629	1.0	2018.0	AVIÃO	AGRÍCOLA	NaN	NaN	MANOBRA	ESPECIALIZADA	SUBSTANCIAL
5413	ACIDENTE	MARACAÍ - SP	SP	NaN	31/12/2021	09:30:00	SIM	ATIVA	NÃO	1	NÃO	-22.585556 / -50.753889	2021-12-31 09:30:00	12.0	PERDA DE CONTROLE EM VOO	PERDA DE CONTROLE EM VOO	LOC-I	PRVPR	NaN	AVIÃO	AIR TRACTOR	AT-502B	AT5T	TURBOÉLICE	MONOMOTOR	3629	3629	1.0	2018.0	AVIÃO	AGRÍCOLA	NaN	NaN	MANOBRA	ESPECIALIZADA	SUBSTANCIAL
5414	INCIDENTE GRAVE	NOVO HAMBURGO - RS	RS	SSNH	31/12/2021	11:59:00	SIM	FINALIZADA	NÃO	1	NÃO	-29.695833 / -51.081667	2021-12-31 11:59:00	12.0	POUSO BRUSCO	CONTATO ANORMAL COM A PISTA \| POUSO BRUSCO	ARC	PPFLY	NaN	AVIÃO	AERO BOERO	AB-115	AB11	PISTÃO	MONOMOTOR	770	770	2.0	1990.0	AVIÃO	INSTRUÇÃO	NOVO HAMBURGO	NOVO HAMBURGO	POUSO	INSTRUÇÃO	LEVE
5415	INCIDENTE	CURITIBA - PR	PR	SBBI	31/12/2021	15:12:00	SIM	FINALIZADA	NÃO	1	NÃO	-25.403333 / -49.233611	2021-12-31 15:12:00	12.0	COLISÃO COM OBSTÁCULOS NO SOLO	COLISÃO NO SOLO \| COLISÃO COM OBSTÁCULOS NO SOLO	GCOL	PTWSA	NaN	AVIÃO	BEECH AIRCRAFT	58	BE58	PISTÃO	BIMOTOR	2449	2449	6.0	1972.0	AVIÃO	ADMINISTRAÇÃO DIRETA	SANTOS DUMONT	BACACHERI	TÁXI	POLICIAL	LEVE
5416	INCIDENTE	PETROLINA - PE	PE	SBPL	31/12/2021	20:30:00	SIM	FINALIZADA	NÃO	1	NÃO	-9.3675 / -40.56361111111	2021-12-31 20:30:00	12.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PRGXM	NaN	AVIÃO	BOEING COMPANY	737-8EH	B738	JATO	BIMOTOR	70533	70533	199.0	2013.0	AVIÃO	REGULAR	ORLANDO BEZERRA DE MENEZES	GOVERNADOR ANDRÉ FRANCO MONTORO	SUBIDA	REGULAR	LEVE

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation